Instructions to use allstax/CodeExplainer-7b-v0.11-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use allstax/CodeExplainer-7b-v0.11-GPTQ with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "allstax/CodeExplainer-7b-v0.11-GPTQ") - Notebooks
- Google Colab
- Kaggle
Pushing fine-tuned model
Browse files- adapter_config.json +2 -2
- generation_config.json +0 -1
adapter_config.json
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@@ -19,10 +19,10 @@
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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"o_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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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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"o_proj",
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"q_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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generation_config.json
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@@ -2,6 +2,5 @@
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.37.0.dev0"
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}
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.37.0.dev0"
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}
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