Instructions to use kk-aivio/cf67a713-fd73-43d5-8f00-449bed06bbbf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/cf67a713-fd73-43d5-8f00-449bed06bbbf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "kk-aivio/cf67a713-fd73-43d5-8f00-449bed06bbbf") - Notebooks
- Google Colab
- Kaggle
cf67a713-fd73-43d5-8f00-449bed06bbbf
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0757
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for kk-aivio/cf67a713-fd73-43d5-8f00-449bed06bbbf
Base model
deepseek-ai/deepseek-coder-6.7b-instruct