README.md

---
license: mit
base_model: z-lab/Qwen3.6-27B-DFlash
base_model_relation: quantized
quantized_by: turboderp
tags:
- exl3
---

EXL3 quants of [Qwen3.6-27B-DFlash](https://huggingface.co/z-lab/Qwen3.6-27B-DFlash)

[2.50 bits per weight](https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3/tree/2.50bpw)    
[3.00 bits per weight](https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3/tree/3.00bpw)    
[3.50 bits per weight](https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3/tree/3.50bpw)    
[4.00 bits per weight](https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3/tree/4.00bpw)    
[5.00 bits per weight](https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3/tree/5.00bpw)    
[6.00 bits per weight](https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3/tree/6.00bpw)    

Quant    | Mean acc. tokens¹
---------|------------------
2.50 bpw | 4.04
3.00 bpw | 4.34
3.50 bpw | 4.22
4.00 bpw | 4.46
5.00 bpw | 4.36
6.00 bpw | 4.43
BF16     | 4.12

¹ Mean verified tokens per 15-token draft, CatBench at temp=0, using 4.15bpw target model