qwen38-mtp-dflash-benchmark
Qwen 3.8 27B en RTX 5070 12 GB: BASE vs DFlash 2 vs MTP. Guía en español, presets y prompt del short: 40,94 → 70,84 tok/s.
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GITHUB · launched Sep 14, 2026 · 8 upvotes (top 88%) · 0 views
Niche: llm benchmarking tools · 84 launches, 1 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 84 launches in llm benchmarking tools →
Could you build this?
Yes This repository contains benchmark scripts, configuration presets, and documentation for testing LLM inference speeds on an RTX 5070.
Competitors
Other products that read as similar to this one : 140 launches clear the similarity bar, closest 8 shown.
Attention rank: #124 of 141 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 301 days after the earliest competitor.
- lean-qwenflash · github · 2026-10-24 · 48 upvotes · similarity 0.64
- qwen38-flash-next-w4a16-cmp170hx · github · 2026-09-16 · 10 upvotes · similarity 0.56
- qwen38-exl3-dflash2 · github · 2026-09-15 · 18 upvotes · similarity 0.56
- qwen36-q4-mtp-cline · github · 2026-09-22 · 8 upvotes · similarity 0.56
- Swift-Qwen3.8-27B-evals · github · 2026-09-13 · 12 upvotes · similarity 0.54
- Fastest Qwen 3.8 27 on single RTX5090 · ph · 2026-09-07 · 1 upvotes · similarity 0.52
- qwen3.6-35b-a3b-144T-S · github · 2026-09-20 · 15 upvotes · similarity 0.51
- Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED · github · 2026-09-15 · 12 upvotes · similarity 0.51
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.