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---
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- vllm
- mlx
base_model: openai/gpt-oss-120b
---
**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 (down from ~251GB required by native MXFP4 format)
* 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-20b](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. |