README.md

---
library_name: peft
base_model: mistralai/Mistral-7B-Instruct-v0.1
---

### Model Description

<!-- Provide a longer summary of what this model is. -->
This is a chat model specialized for SQL, 
which has been fine-tuned based on the 'Mistral-7B-Instruct-v0.1' using 'sql-create-context' datasets.

SQLに特化したMistral-7Bモデルです（普段のクエリ書くために作りました、よろしければ試してみてください）

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16

### Framework versions


- PEFT 0.6.0.dev0