Speedy
Qwen3.8-Flash-Next (125B MoE) up to 1M context on one or two RTX cards (tuned on 3080 10gb). A measured, tuned and benchmarked fork of Strata.
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GITHUB · launched Nov 1, 2026 · 25 upvotes (top 73%)
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- cuda
- inference
- llama
- llama-cpp
- llm
- long-context
- +7 more
Similar launches
See all 132 similar launches →Could you build this?
Partial Running a quantized large MoE model with very long context on consumer GPUs is achievable by forking existing inference code, but tuning memory and throughput for it requires serious ML systems expertise that vibe coding won't supply.
What it would actually take: A real version needs a fork of an inference engine (llama.cpp-style or similar) with custom CUDA kernels, expert offloading between GPU and CPU, and KV-cache compression to reach 1M context on 10 GB cards. Benchmarking and tuning require GPU and inference-optimization engineers with access to the model weights and hardware.
Competitors
Other products that read as similar to this one : 132 launches clear the similarity bar, closest 8 shown.
Attention rank: #111 of 133 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 297 days after the earliest competitor.
- Strata · github · 2026-09-24 · 918 upvotes · similarity 0.68
- lean-qwenflash · github · 2026-10-24 · 48 upvotes · similarity 0.65
- collabosm · github · 2026-09-25 · 90 upvotes · similarity 0.64
- qwen3.8-flash-next-local-deploy · github · 2026-10-14 · 34 upvotes · similarity 0.59
- qwen38-flash-next-w4a16-cmp170hx · github · 2026-09-16 · 10 upvotes · similarity 0.58
- Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s · hn · 2026-09-01 · 240 upvotes · similarity 0.58
- qwen38-flash-next-b70-offload · github · 2026-10-06 · 21 upvotes · similarity 0.58
- Fastest Qwen 3.8 27 on single RTX5090 · ph · 2026-09-07 · 1 upvotes · similarity 0.57