Instructions to use ravindraog/sentinel-coder-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ravindraog/sentinel-coder-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "ravindraog/sentinel-coder-qlora") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj",
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"down_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"gate_proj",
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"o_proj",
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"up_proj",
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"k_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:e01ff8ae5a38fa5f5207fa01cd59832d360efe4d3f5a4e70ec6c9eb0cb65dc78
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size 73911112
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5560
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version https://git-lfs.github.com/spec/v1
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oid sha256:2cea4000d964f7c21ce0372917b3eda13a35d5ef45d58a90f11cfee961c7f052
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size 5560
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