Signal Detail

glq

This is a raw crawl record from GitHub, currently mapped to #7 on the Newcomers board.

GitHubNEWAug 14, 21:54

Record Summary

Newcomers #7

github+hackernews+rss

E8-lattice codebook quantization for LLM weights — 2–8 bpw, mixed-precision, fused CUDA tensor-core inference on vLLM + HF Current movement: NEW. Note: "First time on the board".

Score72
Confidence78%
Surge+9%
Captured atAug 14, 21:54
GitHubinferencellm
Current tool mapping
Captured nameglq

This is the name captured in the original signal at crawl time.

Current display nameglq

The system default name is still in use.

Current websitegithub.com

The system default website is still in use.

Current categoryAI Coding

The system default category is still in use.

Source snapshot
GitHubcnygaard/glq
github.com

E8-lattice codebook quantization for LLM weights — 2–8 bpw, mixed-precision, fused CUDA tensor-core inference on vLLM + HF

Author / Publishercnygaard
Published atAug 14, 21:54
PythonStars 6Forks 1
Page snapshot
GitHubGitHub - cnygaard/glq: E8-lattice codebook quantization for LLM weights — 2–8 bpw, mixed-precision, fused CUDA tensor-core inference on vLLM + HF
Fetched

E8-lattice codebook quantization for LLM weights — 2–8 bpw, mixed-precision, fused CUDA tensor-core inference on vLLM + HF - cnygaard/glq

Fetched atAug 14, 23:02
Published atWaiting for sync
Domaingithub.com
HTTP status200
AuthorNot recorded
Cache statusFresh cache
This crawl record has already generated a matching evidence card on the tool detail page, so you can jump straight back to it.
Structured fields
Repositorycnygaard/glq
LanguagePython
Stars6
Forks1
Watchers6
Issues0
Updated At2026-08-14T21:54:14Z
Aggregated Source Count1

Raw Payload

Raw crawl payload

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