qwen3.8-flashnext
for ML engineers, AI researchers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
medium confidence · estimate, not a guarantee7-day
~0
range 0–17
14-day
~0
range 0–20
30-day
~0
range 0–27
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
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Show HN: Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s
Demonstrates a 104 GB LLM can run on a 48 GB Mac at ~12 tok/s, lowering hardware barriers. · for ML engineers, devops
hackernewsSteady 2 · qwen3.8-flashnextai40d ago - 228
Qwen3.8-Flash-Next
Qwen3.8-Flash-Next delivers faster inference for large language models. · for ml engineers, AI startups
hackernewsSteady 2 · qwen3.8-flashnextai47d ago - 327
Forget Claude Code. All you need is Qwen3.8-Flash-Next running locally for agentic coding
Qwen3.8-Flash-Next runs locally for agentic coding, replacing Claude Code. · for ai developers, ml engineers
devtoCooling 3 · qwen3.8-flashnextai6d ago - 411
Qwen3.8-Flash-Next-Single-DGX-Spark — Qwen3.8-Flash-Next on ONE DGX Spark (TP=1)
Runs Qwen 3.8 Flash model on a single DGX Spark, showing high-throughput inference capability. · for ml ops engineers, AI infrastructure teams
githubSteady 2 · qwen3.8-flashnextai−14 saturated28d ago - 510
Strata — Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API o
Strata enables one-click deployment of Qwen3.8-Flash-Next on Windows/Linux consumer PCs. · for AI engineers, devops
githubSteady 3 · openaiai−24 saturated14d ago - 60
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF (image-text-to-text)
Introduces Qwen3.8-Flash-Next model in GGUF format for image-to-text generation. · for ml engineers, AI researchers
huggingfaceSteadyai−14 saturated11d ago - 70
Qwen/Qwen3.8-Flash-Next (image-text-to-text)
Qwen 3.8-Flash-Next delivers fast image-to-text generation with flash attention. · for ML engineers, AI researchers
huggingfaceSteadyai−23 saturated47d ago - 80
unsloth/Qwen3.8-Flash-Next-GGUF (image-text-to-text)
Unsloth released a GGUF build of Qwen3.8-Flash-Next for image-text-to-text, enabling efficient inference. · for ai developers
huggingfaceSteadyai−18 saturated47d ago