# Description
[MaziyarPanahi/MoMo-70B-lora-1.8.4-DPO-GPTQ](https://huggingface.co/MaziyarPanahi/MoMo-70B-lora-1.8.4-DPO-GPTQ) is a quantized (GPTQ) version of [moreh/MoMo-70B-lora-1.8.4-DPO](https://huggingface.co/moreh/MoMo-70B-lora-1.8.4-DPO)

## 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/MoMo-70B-lora-1.8.4-DPO-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", "arxiv:2305.18290", "arxiv:2106.09685", "license:mit", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us"], "model_name": "MoMo-70B-lora-1.8.4-DPO-GPTQ", "base_model": "moreh/MoMo-70B-lora-1.8.4-DPO", "inference": false, "model_creator": "moreh", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"}
transformers safetensors llama text-generation finetuned quantized 4-bit gptq en arxiv:2305.18290 arxiv:2106.09685 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us base_model:moreh/MoMo-70B-lora-1.8.4-DPO license:apache-2.0