# Description
[MaziyarPanahi/komt-mistral-7b-v1-GPTQ](https://huggingface.co/MaziyarPanahi/komt-mistral-7b-v1-GPTQ) is a quantized (GPTQ) version of [davidkim205/komt-mistral-7b-v1](https://huggingface.co/davidkim205/komt-mistral-7b-v1)

## How to use
### Install the necessary packages

```
pip install --upgrade accelerate auto-gptq transformers
```

### Example Python code


```python
from transformers import AutoTokenizer, pipeline
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
import torch

model_id = "MaziyarPanahi/komt-mistral-7b-v1-GPTQ"

quantize_config = BaseQuantizeConfig(
        bits=4,
        group_size=128,
        desc_act=False
    )

model = AutoGPTQForCausalLM.from_quantized(
        model_id,
        use_safetensors=True,
        device="cuda:0",
        quantize_config=quantize_config)

tokenizer = AutoTokenizer.from_pretrained(model_id)

pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    max_new_tokens=512,
    temperature=0.7,
    top_p=0.95,
    repetition_penalty=1.1
)

outputs = pipe("What is a large language model?")
print(outputs[0]["generated_text"])
```
{"license": "apache-2.0", "tags": ["finetuned", "quantized", "4-bit", "gptq", "transformers", "pytorch", "mistral", "text-generation", "finetuned", "en", "ko", "arxiv:2308.06502", "arxiv:2308.06259", "autotrain_compatible", "endpoints_compatible", "has_space", "text-generation-inference", "region:us"], "model_name": "komt-mistral-7b-v1-GPTQ", "base_model": "davidkim205/komt-mistral-7b-v1", "inference": false, "model_creator": "davidkim205", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"}
transformers safetensors mistral text-generation finetuned quantized 4-bit gptq pytorch en ko arxiv:2308.06502 arxiv:2308.06259 autotrain_compatible endpoints_compatible text-generation-inference region:us conversational base_model:davidkim205/komt-mistral-7b-v1 license:apache-2.0