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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).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 53%Evaluate a model properly →
PossiblePossibly related (embedding) · 49%PACE: A Proxy for Agentic Capability Evaluation →
PossiblePossibly related (embedding) · 49%OpenAI and Broadcom announce chip designed for LLM inference at scale →
PossiblePossibly related (embedding) · 47%Best tps can I get with Qwen3.5 122B on 32GB VRAM + 64GB RAM? →
PossiblePossibly related (embedding) · 47%I mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset) →
PossiblePossibly related (embedding) · 49%Why goodput matters more than throughput for LLM serving →

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)

Covers (incoming)

newsWhy goodput matters more than throughput for LLM serving

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 newsWhy goodput matters more than throughput for LLM serving

Topics

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