Model Releases
Conclusion: r/LocalLLaMA still has brilliant open-weight research, but finding it requires wading through endless benchmark drama, non-local Discussion Points and repetitive hardware flexes.
I let Gemma4-31b run on my laptop for like almost a day using a heavily altered pi to do a deep dive on our beloved Llama tangentially related Subreddit, and this was the conclusion. Feels pretty accu
I let Gemma4-31b run on my laptop for like almost a day using a heavily altered pi to do a deep dive on our beloved Llama tangentially related Subreddit, and this was the conclusion. Feels pretty accurate. Kind funny to let a small LLM loose and see what happens. Next target I'm trying to let it steal some benchmark answers from Huggingface, wish me luck. submitted by /u/Long_War8748 [link] [comments]
Related
- Benchmarks: TensorSharp vs. llama.cpp
- When every other post is an AI generated benchmark report, a question about the best model, or a slop-coded application or engine that pretends to be groundbreaking
- llama.cpp benchmark native vs. non native NVFP4 on Blackwell - summary
- A collection of small domain-specific benchmarks for local models (30+ and growing)
Source: r/LocalLLaMA | 2026-08-02