Not-For-All-Audiences

Instructions to use Novaciano/BAPHOMET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Novaciano/BAPHOMET with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Novaciano/BAPHOMET")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Novaciano/BAPHOMET")
model = AutoModelForCausalLM.from_pretrained("Novaciano/BAPHOMET", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Novaciano/BAPHOMET with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Novaciano/BAPHOMET"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novaciano/BAPHOMET",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Novaciano/BAPHOMET

SGLang

How to use Novaciano/BAPHOMET 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 "Novaciano/BAPHOMET" \
    --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": "Novaciano/BAPHOMET",
		"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 "Novaciano/BAPHOMET" \
        --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": "Novaciano/BAPHOMET",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Novaciano/BAPHOMET with Docker Model Runner:
```
docker model run hf.co/Novaciano/BAPHOMET
```

Novaciano commited on Mar 9, 2025

Commit

1cacc3d

verified ·

1 Parent(s): b593fc6

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@@ -25,53 +25,8 @@ tags:
 - mergekit
 - merge
 - not-for-all-audiences
 ---
-# merge
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-## Merge Details
-### Merge Method
-This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [carsenk/llama3.2_1b_2025_uncensored_v2](https://huggingface.co/carsenk/llama3.2_1b_2025_uncensored_v2) as a base.
-### Models Merged
-The following models were included in the merge:
-* [Grogros/Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-Ref-d4-a0.25-learnability_adv](https://huggingface.co/Grogros/Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-Ref-d4-a0.25-learnability_adv)
-* [Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-Ref-d4-a0.25_v1](https://huggingface.co/Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-Ref-d4-a0.25_v1)
-* [Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-DPO](https://huggingface.co/Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-DPO)
-* [Grogros/Grogros-dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-ft-learnability_adv](https://huggingface.co/Grogros/Grogros-dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-ft-learnability_adv)
-* [Grogros/Grogros-dmWM-LLama-3-1B-Harm-HarmData-Al4-OWT-d4-a0.25-learnability_adv](https://huggingface.co/Grogros/Grogros-dmWM-LLama-3-1B-Harm-HarmData-Al4-OWT-d4-a0.25-learnability_adv)
-* [Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25](https://huggingface.co/Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25)
-* [Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25](https://huggingface.co/Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25)
-* [Grogros/Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv](https://huggingface.co/Grogros/Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv)
-* [Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25](https://huggingface.co/Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25)
-* [Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-RefusalData-d4-a0.25](https://huggingface.co/Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-RefusalData-d4-a0.25)
-* [Grogros/dmWM-LLama-3-1B-Harm-ft-HarmfulAssistant-AlpacaGPT4-OpenWebText-d4-a0.25](https://huggingface.co/Grogros/dmWM-LLama-3-1B-Harm-ft-HarmfulAssistant-AlpacaGPT4-OpenWebText-d4-a0.25)
-* [Grogros/dmWM-LLama-3-1B-Harm-ft-HA-AlpacaGPT4-HeA-OpenWebText-d4-a0.25](https://huggingface.co/Grogros/dmWM-LLama-3-1B-Harm-ft-HA-AlpacaGPT4-HeA-OpenWebText-d4-a0.25)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-models:
-- model: Grogros/dmWM-LLama-3-1B-Harm-ft-HarmfulAssistant-AlpacaGPT4-OpenWebText-d4-a0.25
-- model: Grogros/dmWM-LLama-3-1B-Harm-ft-HA-AlpacaGPT4-HeA-OpenWebText-d4-a0.25
-- model: Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25
-- model: Grogros/Grogros-dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-ft-learnability_adv
-- model: Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-DPO
-- model: Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25
-- model: Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-RefusalData-d4-a0.25
-- model: Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-Ref-d4-a0.25_v1
-- model: Grogros/Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-Ref-d4-a0.25-learnability_adv
-- model: Grogros/dmWM-llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25
-- model: Grogros/Grogros-dmWM-LLama-3-1B-Harm-HarmData-Al4-OWT-d4-a0.25-learnability_adv
-- model: Grogros/Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv
-merge_method: model_stock
-base_model: carsenk/llama3.2_1b_2025_uncensored_v2
-dtype: bfloat16
-parameters:
-  t: [0, 0.5, 1, 0.5, 0]
-```

 - mergekit
 - merge
 - not-for-all-audiences
+language:
+- es
+- en
 ---
+# BAPHOMET