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---
language: en
pipeline_tag: text-generation
tags:
- mlx
library_name: mlx
---
### CURRENTLY UPLOADING

**See Qwen3-Coder-480B-A35B-Instruct 8.5bit MLX in action - [demonstration video - coming soon](https://youtu.be/tXIgw3BDkz4)**

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

## Usage Notes

* Tested on a M3 Ultra 512GB RAM connected to MBP 128GB RAM using [Inferencer app v1.6](https://inferencer.com) with distributed compute
* For more information on the distributed compute feature see: [github.com/inferencer/issues/31](https://github.com/inferencerlabs/inferencer-feedback/issues/31)
* Memory usage: ~518 GB
* Expect ~14 tokens/s
* Quantized with a modified version of [MLX](https://github.com/ml-explore/mlx) 0.29
* For more details see [demonstration video - coming soon](https://youtu.be/tXIgw3BDkz4) or visit [Qwen3-Coder](https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct).

## 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.