Qwen3.8-Flash-Next-GGUF
Unsloth Dynamic 3.0 achieves superior accuracy & outperforms other leading quants. MTP is now available for 1.3-1.7x Faster inference in Unsloth. Read Guide To run, please use llama.cpp or use our Unsloth Desktop app. See below for Qwen3.8-Flash-Next run in Unsloth Desktop with thinking controls:
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daily snapshots · 12 days1.5 M936 K
Sep 9Sep 13Sep 17Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| mtp-Qwen3.8-Flash-Next-Q4_K_M.gguf | Q4_K_M | 2.8 GB | 3.6 GB | ✅ Runs comfortably |
| mtp-Qwen3.8-Flash-Next-Q8_0.gguf | Q8_0 | 4.1 GB | 5.1 GB | ✅ Runs comfortably |
| Qwen3.8-Flash-Next-UD-IQ3_XXS-00002-of-00003.gguf | IQ3_XXS | 49.6 GB | 55.0 GB | ❌ Won’t fit |
| Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf | IQ4_XS | 49.8 GB | 55.3 GB | ❌ Won’t fit |
| Qwen3.8-Flash-Next-UD-IQ1_M-00002-of-00003.gguf | IQ1_M | 50.0 GB | 55.5 GB | ❌ Won’t fit |
| Qwen3.8-Flash-Next-UD-IQ1_S-00002-of-00003.gguf | IQ1_S | 50.0 GB | 55.5 GB | ❌ Won’t fit |
| Qwen3.8-Flash-Next-Q8_0-00003-of-00006.gguf | Q8 | 54.4 GB | 60.3 GB | ❌ Won’t fit |
| Qwen3.8-Flash-Next-BF16-00003-of-00008.gguf | GGUF | 102.4 GB | 113.1 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- other
- First seen on the Hub
- 2026-08-26
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-09
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