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quantpicker

Measures which GGUF quant of a model to run on your GPU: real speed and quality loss (KL divergence), not estimates.

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GITHUB · launched Oct 23, 2026 · 15 upvotes (top 75%) · 0 views

Niche: llm benchmarking tools · 84 launches, 1 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI feature
  • Hobby / open-source project
  • benchmark
  • gguf
  • llama-cpp
  • llm
  • local-llm
  • quantization
  • +1 more

Visit website ↗ Source listing ↗

Could you build this?

Partial A CLI wrapper around llama.cpp is buildable, but producing trustworthy speed and KL-divergence numbers across GPUs and quants needs large compute runs and a reference-logit pipeline.

What it would actually take: Build a harness around llama.cpp that runs each GGUF quant on the target GPU, measures tokens per second and VRAM, and computes KL divergence against full-precision reference logits over a fixed evaluation corpus. The hard part is generating a credible dataset of results across many models and hardware, which requires substantial GPU time and careful methodology.

Competitors

Other products that read as similar to this one : 240 launches clear the similarity bar, closest 8 shown.

Attention rank: #196 of 241 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 353 days after the earliest competitor.

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.