Instructions to use SOULAMA/CodeLlama-7b-Python-hf-fine-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOULAMA/CodeLlama-7b-Python-hf-fine-tuning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SOULAMA/CodeLlama-7b-Python-hf-fine-tuning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- tokenizer_config.json +1 -1
adapter_config.json
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@@ -31,12 +31,12 @@
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"revision": null,
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"target_modules": [
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"k_proj",
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"o_proj",
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"v_proj",
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"q_proj",
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"gate_proj",
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"
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"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"revision": null,
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"target_modules": [
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"k_proj",
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"down_proj",
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"up_proj",
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"o_proj",
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"gate_proj",
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"q_proj",
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"v_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 80014016
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version https://git-lfs.github.com/spec/v1
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oid sha256:1358735f69aa15bdad75ee1c9efb8e5bc20d0a179237833bb3bbf6e973ff6eee
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size 80014016
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tokenizer_config.json
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@@ -18,7 +18,7 @@
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"local_files_only": false,
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"middle_token": "▁<MID>",
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"model_max_length": 1000000000000000019884624838656,
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-
"pad_token":
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"prefix_token": "▁<PRE>",
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"sp_model_kwargs": {},
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"suffix_token": "▁<SUF>",
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"local_files_only": false,
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"middle_token": "▁<MID>",
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"model_max_length": 1000000000000000019884624838656,
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+
"pad_token": "</s>",
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"prefix_token": "▁<PRE>",
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"sp_model_kwargs": {},
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"suffix_token": "▁<SUF>",
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