Introducing GLM-4.7-Flash: Your local coding and agentic assistant.
Setting a new standard for the 30B class, GLM-4.7-Flash balances high performance with efficiency, making it the perfect lightweight deployment option. Beyond coding, it is also recommended for creative writing, translation, long-context tasks, and roleplay.
Weights: https://t.co/uzhvLmHDoI
API: https://t.co/bl6YxjOzzC
- GLM-4.7-Flash: Free (1 concurrency)
- GLM-4.7-FlashX: High-Speed and Affordable
Correction of BrowseComp result:
GLM-4.7-Flash is a 30B-A3B MoE model.
@rinegade You can wait for more quantizied versions. The official version is in BF16 and requires over 45GB
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
quantization — Shrinking a model by storing its numbers less precisely — like rounding — so it runs faster and fits on smaller hardware, at a small quality cost.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
A 30B-class mixture-of-expertsA model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.Full definition → with open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition → gives local AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → setups a coding model that fits on a single workstation, with a free hosted tier for evaluating it before buying hardware.
