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README.md
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- mlx
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base_model: openai/gpt-oss-20b
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- mlx
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base_model: openai/gpt-oss-20b
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---
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**See gpt-oss-20b 6.5bit MLX in action - [demonstration video](https://youtube.com/xcreate)**
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*q6.5bit quant typically achieves 1.128 perplexity in our testing which is equivalent to q8 perplexity (1.128).*
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| Quantization | Perplexity |
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|:------------:|:----------:|
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| **q2** | 41.293 |
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| **q3** | 1.900 |
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| **q4** | 1.168 |
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| **q6** | 1.128 |
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| **q8** | 1.128 |
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## Usage Notes
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* Built with a modified version of [MLX](https://github.com/ml-explore/mlx) 0.26
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* Peak memory usage: ~17 GB
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* Expect ~100 tokens/s
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* For more details see [demonstration video](https://youtube.com/xcreate) or visit [Open AI gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b).
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