Local Benchmark : Muse Glimmer 30B vs Qwen 3.6 27B vs Gemma4 31B (and many other models and finetunes)
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| Needs a lot of requests compared to Qwen (almost twice) and Gemma (almost x3). Final score is fine, even though it is "not a coding model" https://wonderrico.github.io/local_llm_benchmark/benchmark-main.html more details on https://wonderrico.github.io/local_llm_benchmark/benchmark-detail.html let see Qwen 3.8 tomorrow... [link] [comments] |
More from r/LocalLLaMA
-
The AI race: China's open-weight models trail US closed models by just 7 months
Oct 14
-
Anthropic Executive Says Open-Source AI Models Are Higher Risk
Oct 14
-
ComfyUI v0.40.0 released
Oct 14
-
So this is how they do it --> RTX 5090, once a consumer gaming card, is now on smugglers’ menu alongside cigarettes
Oct 14
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.