Qwen · Qwen
Open weights
Qwen3.8 Flash
An open-weight preview of Qwen’s next architecture, combining sparse and linear attention. A vision-language model designed to make long-context agent workloads more efficient.
What’s driving attention
2 distinct stories in the last 30 days, compared with 0 in the previous period.
New coverage
Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/sFrom the creator of Redis; run LLM locally with ds4Community reaction
Insufficient discussion
1 analyzed discussion
At least three independent discussions with model-specific evidence are needed for an overall sentiment label. Reactions reflect the communities covered by Themata.
Early observations
What people value
Reported to run surprisingly well locally, with a 4090/128 GB system reaching 124 tokens per second.
Supporting discussion →Several users describe stronger practical results than Qwen3.8-27B, including one switching to an IQ3 quant after seeing better results.
Supporting discussion →Users report it as useful even on constrained local hardware, and one calls 3-bit results with local coding tools amazing.
Supporting discussion →Some benchmark-oriented comments claim near-parity with high-end hosted coding models on DeepSWE, though these are personal, incomplete benchmarks.
Supporting discussion →
What people question
The headline speed configuration's 2-bit quantization is widely viewed skeptically, with concerns about substantial quality loss.
Supporting discussion →Users criticize low-bit quants, reduced context or thinking budgets, and other inference compromises as making results less reliable.
Supporting discussion →The reduced Coder variant is noted to discard half of the MoE experts, reinforcing concerns that the easiest-to-run variants sacrifice capability.
Supporting discussion →Commenters request more published benchmarks for the quantized variants rather than relying on speed claims.
Supporting discussion →
Connected articles
Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s
· 3 supporting sampled comments
From the creator of Redis; run LLM locally with ds4
· 0 supporting sampled comments
Downloads and access
2,379,596 downloads
Last 30 days · Hugging Face
As of
6,265 likes on Hugging Face
Downloads cover this Hugging Face repository over the last 30 days, including repeat and automated requests. They do not measure unique users or include downloads from other repositories.
How to read this page
Attention reflects distinct stories, recency, capped engagement, and growth within Themata’s coverage. Sentiment is evaluated separately, with equal weight per discussion. Generic company or family mentions are not assigned to a specific release. “Open weights” describes access to model weights; license conditions still apply. Download counts come from Hugging Face and cover the last 30 days, regardless of the selected coverage period. They do not measure unique users.