---
title: openai-gpt-oss-120b-MLX-Q6
canonical_url: "https://www.modelscope.ai/models/inferencerlabs/openai-gpt-oss-120b-MLX-Q6"
md_url: "https://www.modelscope.ai/models/inferencerlabs/openai-gpt-oss-120b-MLX-Q6.md"
repository: inferencerlabs/openai-gpt-oss-120b-MLX-Q6
last_updated: 2026-08-20
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - gpt_oss
architectures:
  - GptOssForCausalLM
base_model:
  - openai/gpt-oss-120b
base_model_relation: quantized
parameters: 25.6B
tensor_type:
  - U32
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 224
stars: 0
tags:
  - vllm
  - mlx
---

# openai-gpt-oss-120b-MLX-Q6

> openai-gpt-oss-120b-MLX-Q6 - An open-source model by inferencerlabs on ModelScope. Notice This quant is deprecated. It was used as a stopgap while support for the native MXFP4 was being implemented. Please use the native MXFP4 model found here OpenAI…

inferencerlabs/openai-gpt-oss-120b-MLX-Q6 is a 25.6B-parameter text-generation model on ModelScope. licensed under apache-2.0. derived from openai/gpt-oss-120b.

- **Repository**: inferencerlabs/openai-gpt-oss-120b-MLX-Q6
- **License**: apache-2.0
- **Tasks**: text-generation
- **Parameters**: 25.6B
- **Base model**: openai/gpt-oss-120b
- **Tags**: vllm, mlx
- **Downloads**: 224
- **Stars**: 0
- **Last updated**: 2026-08-20

Source: https://www.modelscope.ai/models/inferencerlabs/openai-gpt-oss-120b-MLX-Q6

---

### Notice
- This quant is deprecated. It was used as a stopgap while support for the native MXFP4 was being implemented.
- Please use the native MXFP4 model found here [OpenAI gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b)

### Information

**See gpt-oss-120b 6.5bit MLX in action - [demonstration video](https://youtu.be/mlpFG8e_fLw)**

*q6.5bit quant typically achieves 1.128 perplexity in our testing which is equivalent to q8.*
| Quantization | Perplexity |
|:------------:|:----------:|
| **q2**       | 41.293     |
| **q3**       | 1.900      |
| **q4**       | 1.168      |
| **q6**       | 1.128      |
| **q8**       | 1.128      |

## Usage Notes

* Tested to run with [Inferencer app](https://inferencer.com)
* Memory usage: ~95 GB
* Expect ~60 tokens/s
* Quantized with a modified version of [MLX](https://github.com/ml-explore/mlx) 0.26
* For more details see [demonstration video](https://youtu.be/mlpFG8e_fLw) or visit [OpenAI gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b).

## Disclaimer

We are not the creator, originator, or owner of any model listed. Each model is created and provided by third parties. Models may not always be accurate or contextually appropriate. You are responsible for verifying the information before making important decisions. We are not liable for any damages, losses, or issues arising from its use, including data loss or inaccuracies in AI-generated content.