Instructions to use Dwaraknaath/mistral_7b_sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dwaraknaath/mistral_7b_sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alexsherstinsky/Mistral-7B-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "Dwaraknaath/mistral_7b_sql") - Notebooks
- Google Colab
- Kaggle
Commit ·
db227dc
1
Parent(s): 3b2a699
Upload model
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +2 -2
adapter_config.json
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{
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"alpha_pattern": {},
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"base_model_name_or_path":
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"target_modules": [
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"task_type": "CAUSAL_LM"
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}
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "alexsherstinsky/Mistral-7B-v0.1-sharded",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"v_proj",
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"k_proj",
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"o_proj",
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"q_proj"
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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size 369142184
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