---
language:
- en
base_model:
- Qwen/Qwen2-VL-2B-Instruct
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- llama-cpp
- Omni-Reasoner-o1
- gguf
- Q3_K_M
- 2B
- qwen
- Reasoner
- llama-cpp
- prithivMLmods
- code
- math
- chat
- roleplay
- text-generation
- safetensors
- nlp
- code
---

# roleplaiapp/Omni-Reasoner-2B-Q3_K_M-GGUF

**Repo:** `roleplaiapp/Omni-Reasoner-2B-Q3_K_M-GGUF`  
**Original Model:** `Omni-Reasoner-o1`
**Organization:** `prithivMLmods`
**Quantized File:** `omni-reasoner-2b-q3_k_m.gguf`
**Quantization:** `GGUF`
**Quantization Method:** `Q3_K_M`  
**Use Imatrix:** `False`  
**Split Model:** `False`

## Overview
This is an GGUF Q3_K_M quantized version of [Omni-Reasoner-o1](https://huggingface.co/prithivMLmods/Omni-Reasoner-2B).

## Quantization By
I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models.
I hope the community finds these quantizations useful.

Andrew Webby @ [RolePlai](https://roleplai.app/)