repoGitHubTrust 82 · PrimaryPublished 8h agoLive · 8h ago

Andyyyy64/whichllm

Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Related to

tutorialEvaluate a model properly

Implements

paperPACE: A Proxy for Agentic Capability Evaluation

Covers

newsOpenAI and Broadcom announce chip designed for LLM inference at scale newsBest tps can I get with Qwen3.5 122B on 32GB VRAM + 64GB RAM?newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)

Related across the graph

newsOpenAI and Broadcom announce chip designed for LLM inference at scale newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)paperPACE: A Proxy for Agentic Capability Evaluation newsBest tps can I get with Qwen3.5 122B on 32GB VRAM + 64GB RAM?tutorialEvaluate a model properly

Topics

ai apple-silicon benchmarks cli command-line-tool gguf gpu huggingface inference llm