---
tags:
- vllm
- sparsity
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
pipeline_tag: image-text-to-text
license: apache-2.0
library_name: vllm
base_model:
- mistral-community/pixtral-12b
- mistralai/Pixtral-12B-2409
base_model_relation: quantized
---

# Pixtral-12B-2409: 2:4 sparse

2:4 sparse version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) using [kylesayrs/gptq-partition branch of LLM Compressor](https://github.com/vllm-project/llm-compressor/tree/kylesayrs/gptq-partition) for optimised inference on VLLM. 

Example VLLM usage 
```
vllm serve nintwentydo/pixtral-12b-2409-2of4-sparse --max-model-len 131072 --limit-mm-per-prompt 'image=4' 
```

If you want a more advanced/fully featured chat template you can use [this jinja template](https://raw.githubusercontent.com/nintwentydo/tabbyAPI/refs/heads/main/templates/pixtral12b.jinja)