# Description
[MaziyarPanahi/miqu-1-70b-sf-GPTQ](https://huggingface.co/MaziyarPanahi/miqu-1-70b-sf-GPTQ) is a quantized (GPTQ) version of [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)

## 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/miqu-1-70b-sf-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", "safetensors", "llama", "text-generation", "en", "license:mit", "model-index", "autotrain_compatible", "endpoints_compatible", "has_space", "text-generation-inference", "region:us"], "model_name": "miqu-1-70b-sf-GPTQ", "base_model": "152334H/miqu-1-70b-sf", "inference": false, "model_creator": "152334H", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"}
transformers safetensors llama text-generation finetuned quantized 4-bit gptq en license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us conversational base_model:152334H/miqu-1-70b-sf license:apache-2.0