Instructions to use lana-4/cpp-evaluator-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lana-4/cpp-evaluator-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2-bnb-4bit") model = PeftModel.from_pretrained(base_model, "lana-4/cpp-evaluator-lora") - Transformers
How to use lana-4/cpp-evaluator-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lana-4/cpp-evaluator-lora") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lana-4/cpp-evaluator-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use lana-4/cpp-evaluator-lora with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lana-4/cpp-evaluator-lora" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lana-4/cpp-evaluator-lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lana-4/cpp-evaluator-lora
- SGLang
How to use lana-4/cpp-evaluator-lora with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "lana-4/cpp-evaluator-lora" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lana-4/cpp-evaluator-lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "lana-4/cpp-evaluator-lora" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lana-4/cpp-evaluator-lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use lana-4/cpp-evaluator-lora with Docker Model Runner:
docker model run hf.co/lana-4/cpp-evaluator-lora
Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +63 -0
- adapter_config.json +52 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +24 -0
- checkpoint-100/README.md +210 -0
- checkpoint-100/adapter_config.json +52 -0
- checkpoint-100/adapter_model.safetensors +3 -0
- checkpoint-100/chat_template.jinja +24 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/tokenizer.json +0 -0
- checkpoint-100/tokenizer.model +3 -0
- checkpoint-100/tokenizer_config.json +45 -0
- checkpoint-100/trainer_state.json +120 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-115/README.md +210 -0
- checkpoint-115/adapter_config.json +52 -0
- checkpoint-115/adapter_model.safetensors +3 -0
- checkpoint-115/chat_template.jinja +24 -0
- checkpoint-115/optimizer.pt +3 -0
- checkpoint-115/rng_state.pth +3 -0
- checkpoint-115/scheduler.pt +3 -0
- checkpoint-115/tokenizer.json +0 -0
- checkpoint-115/tokenizer.model +3 -0
- checkpoint-115/tokenizer_config.json +44 -0
- checkpoint-115/trainer_state.json +135 -0
- checkpoint-115/training_args.bin +3 -0
- checkpoint-129/README.md +210 -0
- checkpoint-129/adapter_config.json +52 -0
- checkpoint-129/adapter_model.safetensors +3 -0
- checkpoint-129/chat_template.jinja +24 -0
- checkpoint-129/optimizer.pt +3 -0
- checkpoint-129/rng_state.pth +3 -0
- checkpoint-129/scheduler.pt +3 -0
- checkpoint-129/tokenizer.json +0 -0
- checkpoint-129/tokenizer.model +3 -0
- checkpoint-129/tokenizer_config.json +45 -0
- checkpoint-129/trainer_state.json +142 -0
- checkpoint-129/training_args.bin +3 -0
- checkpoint-132/README.md +210 -0
- checkpoint-132/adapter_config.json +52 -0
- checkpoint-132/adapter_model.safetensors +3 -0
- checkpoint-132/chat_template.jinja +24 -0
- checkpoint-132/optimizer.pt +3 -0
- checkpoint-132/rng_state.pth +3 -0
- checkpoint-132/scheduler.pt +3 -0
- checkpoint-132/tokenizer.json +0 -0
- checkpoint-132/tokenizer.model +3 -0
- checkpoint-132/tokenizer_config.json +45 -0
README.md
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| 1 |
+
---
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| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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+
library_name: peft
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| 4 |
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model_name: cpp_evaluator_lora
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tags:
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+
- base_model:adapter:unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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| 7 |
+
- lora
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| 8 |
+
- sft
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| 9 |
+
- transformers
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| 10 |
+
- trl
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| 11 |
+
- unsloth
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| 12 |
+
licence: license
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pipeline_tag: text-generation
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---
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| 15 |
+
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# Model Card for cpp_evaluator_lora
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This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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| 27 |
+
generator = pipeline("text-generation", model="None", device="cuda")
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| 28 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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| 29 |
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print(output["generated_text"])
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| 30 |
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```
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| 31 |
+
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| 32 |
+
## Training procedure
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| 33 |
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| 38 |
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This model was trained with SFT.
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| 39 |
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### Framework versions
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| 41 |
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| 42 |
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- PEFT 0.19.1
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| 43 |
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- TRL: 1.5.0
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| 44 |
+
- Transformers: 5.9.0
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| 45 |
+
- Pytorch: 2.11.0+cu128
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| 46 |
+
- Datasets: 4.8.5
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| 47 |
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- Tokenizers: 0.22.2
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| 48 |
+
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+
## Citations
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| 50 |
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| 53 |
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Cite TRL as:
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| 54 |
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```bibtex
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| 56 |
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@software{vonwerra2020trl,
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| 57 |
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title = {{TRL: Transformers Reinforcement Learning}},
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| 58 |
+
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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| 59 |
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license = {Apache-2.0},
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| 60 |
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url = {https://github.com/huggingface/trl},
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| 61 |
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year = {2020}
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}
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```
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adapter_config.json
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{
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| 2 |
+
"alora_invocation_tokens": null,
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| 3 |
+
"alpha_pattern": {},
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| 4 |
+
"arrow_config": null,
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| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "MistralForCausalLM",
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| 7 |
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"parent_library": "transformers.models.mistral.modeling_mistral",
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| 8 |
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"unsloth_fixed": true
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| 9 |
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},
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| 10 |
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"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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"bias": "none",
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| 12 |
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"corda_config": null,
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| 13 |
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"ensure_weight_tying": false,
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| 14 |
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"eva_config": null,
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| 15 |
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"exclude_modules": null,
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| 16 |
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"fan_in_fan_out": false,
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| 17 |
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"inference_mode": true,
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| 18 |
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"init_lora_weights": true,
|
| 19 |
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"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
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"layers_to_transform": null,
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| 22 |
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"loftq_config": {},
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| 23 |
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"lora_alpha": 64,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.1,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
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| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
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"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 32,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
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"gate_proj",
|
| 38 |
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"q_proj",
|
| 39 |
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"o_proj",
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| 40 |
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"v_proj",
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| 41 |
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"up_proj",
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| 42 |
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"down_proj",
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| 43 |
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"k_proj"
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| 44 |
+
],
|
| 45 |
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"target_parameters": null,
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| 46 |
+
"task_type": "CAUSAL_LM",
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| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_bdlora": null,
|
| 49 |
+
"use_dora": false,
|
| 50 |
+
"use_qalora": false,
|
| 51 |
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"use_rslora": true
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| 52 |
+
}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec0507f455ce06116c6188b4c1ba3cdc2e7d6e187c409fc0eb46b37d6d2b460e
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size 335604696
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chat_template.jinja
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{%- if messages[0]['role'] == 'system' %}
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| 2 |
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{%- set system_message = messages[0]['content'] %}
|
| 3 |
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{%- set loop_messages = messages[1:] %}
|
| 4 |
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{%- else %}
|
| 5 |
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{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
|
| 8 |
+
{{- bos_token }}
|
| 9 |
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{%- for message in loop_messages %}
|
| 10 |
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
|
| 11 |
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{{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{%- if message['role'] == 'user' %}
|
| 14 |
+
{%- if loop.first and system_message is defined %}
|
| 15 |
+
{{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}
|
| 16 |
+
{%- else %}
|
| 17 |
+
{{- ' [INST] ' + message['content'] + ' [/INST]' }}
|
| 18 |
+
{%- endif %}
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| 19 |
+
{%- elif message['role'] == 'assistant' %}
|
| 20 |
+
{{- ' ' + message['content'] + eos_token}}
|
| 21 |
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{%- else %}
|
| 22 |
+
{{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
|
| 23 |
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{%- endif %}
|
| 24 |
+
{%- endfor %}
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checkpoint-100/README.md
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| 1 |
+
---
|
| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.19.1
|
checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "MistralForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.mistral.modeling_mistral",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 64,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.1,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 32,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"q_proj",
|
| 39 |
+
"o_proj",
|
| 40 |
+
"v_proj",
|
| 41 |
+
"up_proj",
|
| 42 |
+
"down_proj",
|
| 43 |
+
"k_proj"
|
| 44 |
+
],
|
| 45 |
+
"target_parameters": null,
|
| 46 |
+
"task_type": "CAUSAL_LM",
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_bdlora": null,
|
| 49 |
+
"use_dora": false,
|
| 50 |
+
"use_qalora": false,
|
| 51 |
+
"use_rslora": true
|
| 52 |
+
}
|
checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec0507f455ce06116c6188b4c1ba3cdc2e7d6e187c409fc0eb46b37d6d2b460e
|
| 3 |
+
size 335604696
|
checkpoint-100/chat_template.jinja
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 2 |
+
{%- set system_message = messages[0]['content'] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
|
| 8 |
+
{{- bos_token }}
|
| 9 |
+
{%- for message in loop_messages %}
|
| 10 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
|
| 11 |
+
{{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{%- if message['role'] == 'user' %}
|
| 14 |
+
{%- if loop.first and system_message is defined %}
|
| 15 |
+
{{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}
|
| 16 |
+
{%- else %}
|
| 17 |
+
{{- ' [INST] ' + message['content'] + ' [/INST]' }}
|
| 18 |
+
{%- endif %}
|
| 19 |
+
{%- elif message['role'] == 'assistant' %}
|
| 20 |
+
{{- ' ' + message['content'] + eos_token}}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d05b48c86443d63ed20619325bf29b9bab5e3133ddc2403f6ccf235e3ab4d5bf
|
| 3 |
+
size 170925029
|
checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7edd00d1d5e20fe7c60cacb9fab867110949926011774923863959fdd7a0e3b
|
| 3 |
+
size 14645
|
checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e44589fd7cf760394382246caa00584ca148802f8501eb2b0bece7762291af7e
|
| 3 |
+
size 1465
|
checkpoint-100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-100/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": null,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<s>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "</s>",
|
| 7 |
+
"extra_special_tokens": [],
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"legacy": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"model_max_length": 32768,
|
| 12 |
+
"pad_token": "<unk>",
|
| 13 |
+
"padding_side": "right",
|
| 14 |
+
"sp_model_kwargs": {},
|
| 15 |
+
"spaces_between_special_tokens": false,
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"unk_token": "<unk>",
|
| 18 |
+
"use_default_system_prompt": false,
|
| 19 |
+
"added_tokens_decoder": {
|
| 20 |
+
"0": {
|
| 21 |
+
"content": "<unk>",
|
| 22 |
+
"single_word": false,
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
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|
checkpoint-100/trainer_state.json
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@@ -0,0 +1,120 @@
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| 120 |
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|
checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:fa0c7a588579d0dd70f20acbe6ecb16fb4ee8f0d666f47ecf9af24db59455abc
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| 3 |
+
size 5841
|
checkpoint-115/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
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|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.19.1
|
checkpoint-115/adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "MistralForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.mistral.modeling_mistral",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 32,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.05,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 16,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
+
"down_proj",
|
| 38 |
+
"gate_proj",
|
| 39 |
+
"q_proj",
|
| 40 |
+
"v_proj",
|
| 41 |
+
"up_proj",
|
| 42 |
+
"o_proj",
|
| 43 |
+
"k_proj"
|
| 44 |
+
],
|
| 45 |
+
"target_parameters": null,
|
| 46 |
+
"task_type": "CAUSAL_LM",
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_bdlora": null,
|
| 49 |
+
"use_dora": false,
|
| 50 |
+
"use_qalora": false,
|
| 51 |
+
"use_rslora": true
|
| 52 |
+
}
|
checkpoint-115/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7dbb510325fa9fca6d1b6c5621e5f64c39db5a7db350eaab3476e07cb73670c3
|
| 3 |
+
size 167832240
|
checkpoint-115/chat_template.jinja
ADDED
|
@@ -0,0 +1,24 @@
|
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|
| 1 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 2 |
+
{%- set system_message = messages[0]['content'] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
|
| 8 |
+
{{- bos_token }}
|
| 9 |
+
{%- for message in loop_messages %}
|
| 10 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
|
| 11 |
+
{{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{%- if message['role'] == 'user' %}
|
| 14 |
+
{%- if loop.first and system_message is defined %}
|
| 15 |
+
{{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}
|
| 16 |
+
{%- else %}
|
| 17 |
+
{{- ' [INST] ' + message['content'] + ' [/INST]' }}
|
| 18 |
+
{%- endif %}
|
| 19 |
+
{%- elif message['role'] == 'assistant' %}
|
| 20 |
+
{{- ' ' + message['content'] + eos_token}}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
checkpoint-115/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
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|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c5294c269cdd40f4d81fccfaf786038661d7b280356ca3ccc1c1ee2dbed6293
|
| 3 |
+
size 85728229
|
checkpoint-115/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fb8e992a5a0cf69f5e121214f529fef64af25b7eb81281760a1f6d70351f046f
|
| 3 |
+
size 14645
|
checkpoint-115/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b95553f09b5fa50515a7d3963e2ecc676b31eac778461df36d72fee22924ae4d
|
| 3 |
+
size 1465
|
checkpoint-115/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-115/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-115/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": null,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<s>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "</s>",
|
| 7 |
+
"extra_special_tokens": [],
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"legacy": false,
|
| 10 |
+
"model_max_length": 32768,
|
| 11 |
+
"pad_token": "<unk>",
|
| 12 |
+
"padding_side": "right",
|
| 13 |
+
"sp_model_kwargs": {},
|
| 14 |
+
"spaces_between_special_tokens": false,
|
| 15 |
+
"tokenizer_class": "TokenizersBackend",
|
| 16 |
+
"unk_token": "<unk>",
|
| 17 |
+
"use_default_system_prompt": false,
|
| 18 |
+
"added_tokens_decoder": {
|
| 19 |
+
"0": {
|
| 20 |
+
"content": "<unk>",
|
| 21 |
+
"single_word": false,
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"1": {
|
| 28 |
+
"content": "<s>",
|
| 29 |
+
"single_word": false,
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"2": {
|
| 36 |
+
"content": "</s>",
|
| 37 |
+
"single_word": false,
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
}
|
checkpoint-115/trainer_state.json
ADDED
|
@@ -0,0 +1,135 @@
|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
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|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 50,
|
| 3 |
+
"best_metric": 0.7539118528366089,
|
| 4 |
+
"best_model_checkpoint": "models/cpp_evaluator_lora/checkpoint-50",
|
| 5 |
+
"epoch": 5.0,
|
| 6 |
+
"eval_steps": 50,
|
| 7 |
+
"global_step": 115,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.449438202247191,
|
| 14 |
+
"grad_norm": 2.1648659706115723,
|
| 15 |
+
"learning_rate": 9.981320782765846e-05,
|
| 16 |
+
"loss": 0.8772696495056153,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.898876404494382,
|
| 21 |
+
"grad_norm": 1.4460324048995972,
|
| 22 |
+
"learning_rate": 9.653114094889127e-05,
|
| 23 |
+
"loss": 0.30224268436431884,
|
| 24 |
+
"step": 20
|
| 25 |
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checkpoint-115/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:41eae17ea264932aa222b7e44c47ab7e279e3c0af6ce635986618d9176cceb29
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size 5713
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checkpoint-129/README.md
ADDED
|
@@ -0,0 +1,210 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.19.1
|
checkpoint-129/adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
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|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "MistralForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.mistral.modeling_mistral",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 64,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.1,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 32,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"q_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"o_proj",
|
| 41 |
+
"up_proj",
|
| 42 |
+
"down_proj",
|
| 43 |
+
"k_proj"
|
| 44 |
+
],
|
| 45 |
+
"target_parameters": null,
|
| 46 |
+
"task_type": "CAUSAL_LM",
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_bdlora": null,
|
| 49 |
+
"use_dora": false,
|
| 50 |
+
"use_qalora": false,
|
| 51 |
+
"use_rslora": true
|
| 52 |
+
}
|
checkpoint-129/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70b958b6824db6ab26766426a468f88db41698d626243225791f5d2a7d52b67b
|
| 3 |
+
size 335604696
|
checkpoint-129/chat_template.jinja
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 2 |
+
{%- set system_message = messages[0]['content'] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
|
| 8 |
+
{{- bos_token }}
|
| 9 |
+
{%- for message in loop_messages %}
|
| 10 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
|
| 11 |
+
{{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{%- if message['role'] == 'user' %}
|
| 14 |
+
{%- if loop.first and system_message is defined %}
|
| 15 |
+
{{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}
|
| 16 |
+
{%- else %}
|
| 17 |
+
{{- ' [INST] ' + message['content'] + ' [/INST]' }}
|
| 18 |
+
{%- endif %}
|
| 19 |
+
{%- elif message['role'] == 'assistant' %}
|
| 20 |
+
{{- ' ' + message['content'] + eos_token}}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
checkpoint-129/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:451486c1319ad1187d8e60b069889d992b54efb5ad72274d8a94dcb51fbe5f60
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| 3 |
+
size 170925029
|
checkpoint-129/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:2b6c3eebe6416f0eb4207c5f5934801c426e290a17451c5a7ca21720ba6d99b6
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| 3 |
+
size 14645
|
checkpoint-129/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:349f32bf533c2c7d33764e3f39589df537ea0f675cd0a663e2f42687ca269c93
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| 3 |
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size 1465
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checkpoint-129/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-129/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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| 3 |
+
size 493443
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checkpoint-129/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
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|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": null,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<s>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "</s>",
|
| 7 |
+
"extra_special_tokens": [],
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"legacy": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"model_max_length": 32768,
|
| 12 |
+
"pad_token": "<unk>",
|
| 13 |
+
"padding_side": "right",
|
| 14 |
+
"sp_model_kwargs": {},
|
| 15 |
+
"spaces_between_special_tokens": false,
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"unk_token": "<unk>",
|
| 18 |
+
"use_default_system_prompt": false,
|
| 19 |
+
"added_tokens_decoder": {
|
| 20 |
+
"0": {
|
| 21 |
+
"content": "<unk>",
|
| 22 |
+
"single_word": false,
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"1": {
|
| 29 |
+
"content": "<s>",
|
| 30 |
+
"single_word": false,
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"2": {
|
| 37 |
+
"content": "</s>",
|
| 38 |
+
"single_word": false,
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
}
|
| 45 |
+
}
|
checkpoint-129/trainer_state.json
ADDED
|
@@ -0,0 +1,142 @@
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|
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|
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{
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"learning_rate": 3.645000748077709e-07,
|
| 109 |
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"loss": 0.026328283548355102,
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| 110 |
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|
| 111 |
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|
| 112 |
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{
|
| 113 |
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"epoch": 3.0,
|
| 114 |
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"eval_loss": 0.41332900524139404,
|
| 115 |
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"eval_runtime": 8.6227,
|
| 116 |
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"eval_samples_per_second": 7.886,
|
| 117 |
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"eval_steps_per_second": 3.943,
|
| 118 |
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"step": 129
|
| 119 |
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}
|
| 120 |
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],
|
| 121 |
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"logging_steps": 10,
|
| 122 |
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"max_steps": 129,
|
| 123 |
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"num_input_tokens_seen": 0,
|
| 124 |
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"num_train_epochs": 3,
|
| 125 |
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"save_steps": 50,
|
| 126 |
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"stateful_callbacks": {
|
| 127 |
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"TrainerControl": {
|
| 128 |
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"args": {
|
| 129 |
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"should_epoch_stop": false,
|
| 130 |
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"should_evaluate": false,
|
| 131 |
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|
| 132 |
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"should_save": true,
|
| 133 |
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"should_training_stop": true
|
| 134 |
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},
|
| 135 |
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"attributes": {}
|
| 136 |
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}
|
| 137 |
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},
|
| 138 |
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"total_flos": 4.710253553425613e+16,
|
| 139 |
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"train_batch_size": 2,
|
| 140 |
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"trial_name": null,
|
| 141 |
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"trial_params": null
|
| 142 |
+
}
|
checkpoint-129/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:92b6c8b3e453c488b479706d54ef3dbccb0d61deb1a9b864f8730af9efe246e0
|
| 3 |
+
size 5841
|
checkpoint-132/README.md
ADDED
|
@@ -0,0 +1,210 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/mistral-7b-instruct-v0.2-bnb-4bit
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.19.1
|
checkpoint-132/adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "MistralForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.mistral.modeling_mistral",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 32,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.1,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 16,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
+
"down_proj",
|
| 38 |
+
"up_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"q_proj",
|
| 41 |
+
"v_proj",
|
| 42 |
+
"k_proj",
|
| 43 |
+
"o_proj"
|
| 44 |
+
],
|
| 45 |
+
"target_parameters": null,
|
| 46 |
+
"task_type": "CAUSAL_LM",
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_bdlora": null,
|
| 49 |
+
"use_dora": false,
|
| 50 |
+
"use_qalora": false,
|
| 51 |
+
"use_rslora": true
|
| 52 |
+
}
|
checkpoint-132/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
|
|
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|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8d288f12c64274b27d119a6d6303446c61c9fa35f2ebd9056d758d6264dd2c2e
|
| 3 |
+
size 167832240
|
checkpoint-132/chat_template.jinja
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 2 |
+
{%- set system_message = messages[0]['content'] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
|
| 8 |
+
{{- bos_token }}
|
| 9 |
+
{%- for message in loop_messages %}
|
| 10 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
|
| 11 |
+
{{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{%- if message['role'] == 'user' %}
|
| 14 |
+
{%- if loop.first and system_message is defined %}
|
| 15 |
+
{{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}
|
| 16 |
+
{%- else %}
|
| 17 |
+
{{- ' [INST] ' + message['content'] + ' [/INST]' }}
|
| 18 |
+
{%- endif %}
|
| 19 |
+
{%- elif message['role'] == 'assistant' %}
|
| 20 |
+
{{- ' ' + message['content'] + eos_token}}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
checkpoint-132/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0555e462e8c76b32bb47345b4aa8cc4e0f74f2066f90e683c2570911a04c8acd
|
| 3 |
+
size 85728229
|
checkpoint-132/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62094fe267f5c0dee6218d985a1752fe387880a2389c481b5ae626e4a30bf51f
|
| 3 |
+
size 14645
|
checkpoint-132/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c7ef928e1985a608fc0964f1570b98a456c560ee098b2376b0d35aadafc44e7
|
| 3 |
+
size 1465
|
checkpoint-132/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-132/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-132/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": null,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<s>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "</s>",
|
| 7 |
+
"extra_special_tokens": [],
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"legacy": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"model_max_length": 32768,
|
| 12 |
+
"pad_token": "<unk>",
|
| 13 |
+
"padding_side": "right",
|
| 14 |
+
"sp_model_kwargs": {},
|
| 15 |
+
"spaces_between_special_tokens": false,
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"unk_token": "<unk>",
|
| 18 |
+
"use_default_system_prompt": false,
|
| 19 |
+
"added_tokens_decoder": {
|
| 20 |
+
"0": {
|
| 21 |
+
"content": "<unk>",
|
| 22 |
+
"single_word": false,
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"1": {
|
| 29 |
+
"content": "<s>",
|
| 30 |
+
"single_word": false,
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"2": {
|
| 37 |
+
"content": "</s>",
|
| 38 |
+
"single_word": false,
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
}
|
| 45 |
+
}
|