---
base_model: HuggingFaceH4/zephyr-7b-beta
inference: true
model_type: mistral
quantized_by: robertgshaw2
tags:
- nm-vllm
- marlin
- int4
---

## zephyr-7b-beta-marlin
This repo contains model files for [zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) optimized for [nm-vllm](https://github.com/neuralmagic/nm-vllm), a high-throughput serving engine for compressed LLMs.

This model was quantized with [GPTQ](https://arxiv.org/abs/2210.17323) and saved in the Marlin format for efficient 4-bit inference. Marlin is a highly optimized inference kernel for 4 bit models.

## Inference
Install [nm-vllm](https://github.com/neuralmagic/nm-vllm) for fast inference and low memory-usage: 
```bash
pip install nm-vllm[sparse]
```

Run in a Python pipeline for local inference:
```python
from transformers import AutoTokenizer
from vllm import LLM, SamplingParams

model_id = "neuralmagic/zephyr-7b-beta-marlin"
model = LLM(model_id)

tokenizer = AutoTokenizer.from_pretrained(model_id)
messages = [
    {"role": "user", "content": "What is quantization in maching learning?"},
]
formatted_prompt =  tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
sampling_params = SamplingParams(max_tokens=200)
outputs = model.generate(formatted_prompt, sampling_params=sampling_params)
print(outputs[0].outputs[0].text)

"""
Sure! Here's a simple recipe for banana bread:

Ingredients:
- 3-4 ripe bananas,mashed
- 1 large egg
- 2 Tbsp. Flour
- 2 tsp. Baking powder
- 1 tsp. Baking soda
- 1/2 tsp. Ground cinnamon
- 1/4 tsp. Salt
- 1/2 cup butter, melted
- 3 Cups All-purpose flour
- 1/2 tsp. Ground cinnamon

Instructions:

1. Preheat your oven to 350 F (175 C).
"""
```

## Quantization
For details on how this model was quantized and converted to marlin format, run the `quantization/apply_gptq_save_marlin.py` script:

```bash
pip install -r quantization/requirements.txt
python3 quantization/apply_gptq_save_marlin.py --model-id HuggingFaceH4/zephyr-7b-beta --save-dir ./zephyr-marlin
```

## Slack

For further support, and discussions on these models and AI in general, join [Neural Magic's Slack Community](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ)