cyberneurova-Qwen3.8-Flash-Next — GGUF (static quants)
[!Note] All credit for the model goes to cyberneurova, who produced cyberneurova-Qwen3.8-Flash-Next. These are quantizations only.
[!Tip] Benchmarked on CaliperBench — a creative-writing benchmark scoring prose craft, roleplay and willingness rather than general intelligence. See this model's scores: caliperbench.com
Provided quants
| Quant | Size | Notes |
|---|---|---|
| Q2_K | 80.4 GB | |
| Q3_K_S | 88.8 GB | |
| Q3_K_M | 94.2 GB | lower quality |
| Q3_K_L | 96.6 GB | |
| Q4_K_S | 111.8 GB | fast, recommended |
| Q4_K_M | 119.2 GB | fast, recommended |
| Q5_K_S | 127.8 GB | |
| Q5_K_M | 134.1 GB | |
| Q6_K | 167.6 GB | very good quality |
| Q8_0 | 188.2 GB | fast, best quality |
An MTP (multi-token prediction) draft head is also available for speculative decoding: mtp-cyberneurova-Qwen3.8-Flash-Next-Q8_0.gguf (3.9 GB).
Loading (any current llama.cpp)
llama-server -m cyberneurova-Qwen3.8-Flash-Next.Q6_K.gguf -ngl 99 -fa on -c 32768 -ctk q8_0 -ctv q8_0 --jinja