Model Releases
Is all the work that's being put into Qwen3.8 Flash Next going to set us up for a very quick uplift to Qwen4?
Given the commentary on the Q3.8FN release page here https://qwen.ai/blog?id=qwen3.8-flash-next I assume/hope that all the work that's going on to optimise the hell out of running it will be useful wh
Given the commentary on the Q3.8FN release page here https://qwen.ai/blog?id=qwen3.8-flash-next I assume/hope that all the work that's going on to optimise the hell out of running it will be useful when Qwen4 drops? submitted by /u/demomanca [link] [comments]
Related
- If you are running Qwen 3.8 Flash Next on Strix Halo, use this software for inference. It's so much faster than llama.cpp especially at high context.
- Qwen Flash Next MTP work restarted
- Did anyone do a full bench of e.g. Qwen Flash Next IQ4 and Qwen 27b FP8? Here are some
- Qwen3.8-Flash-Next-NVFP4 vs Qwen3.8-27B-FP Test Results
- My Qwen3.8-Flash-Next recipe for single GB10/DGX Spark, uses Intel AutoRound int4 quant and vLLM, fp8 ngram table offloaded to local SSD or external RDMA server. At mtp=3 c=1, code is ~47.5t/s, json is ~60t/s. Prefix cache is ON.
Source: r/LocalLLaMA | 2026-10-04