lean-qwenflash
Qwen3.8-Flash-Next at full 262k context on 8 GB RAM and 16 GB VRAM—20 tok/s generation and 1,600 tok/s prefill.
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GITHUB · launched Oct 24, 2026 · 48 upvotes (top 35%)
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Similar launches
See all 244 similar launches →Could you build this?
No Running a large model with a 262k context on 8 GB RAM and 16 GB VRAM at these speeds requires custom quantization, KV-cache compression, and inference kernel optimization that vibe coding cannot supply.
What it would actually take: A real version needs an inference engine (llama.cpp-style or custom CUDA kernels) with aggressive quantization, offloading between RAM and VRAM, and KV-cache strategies such as sliding windows or compression to fit 262k context. Achieving the stated prefill and generation speeds requires GPU kernel and ML systems expertise and careful benchmarking. The model architecture itself must also be supported, which may need new code.
Competitors
Other products that read as similar to this one : 244 launches clear the similarity bar, closest 8 shown.
Attention rank: #84 of 245 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 351 days after the earliest competitor.
- qwen38-flash-next-w4a16-cmp170hx · github · 2026-09-16 · 10 upvotes · similarity 0.75
- Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s · hn · 2026-09-01 · 240 upvotes · similarity 0.70
- collabosm · github · 2026-09-25 · 90 upvotes · similarity 0.68
- qwen38-flash-next-b70-offload · github · 2026-10-06 · 21 upvotes · similarity 0.66
- glyd-condor · github · 2026-10-14 · 29 upvotes · similarity 0.66
- Speedy · github · 2026-11-01 · 25 upvotes · similarity 0.65
- qwen38-mtp-dflash-benchmark · github · 2026-09-14 · 8 upvotes · similarity 0.64
- qwen3.6-35b-a3b-144T-S · github · 2026-09-20 · 15 upvotes · similarity 0.61
Other launches for this product
- No other launches for this product.