A curated index of language models — open source and proprietary. Compare context windows, use cases, and benchmarks. Updated as the field moves.
| Model | Provider | Type | MMLU | HumanEval | Context |
|---|
MMLU = Massive Multitask Language Understanding (% accuracy). HumanEval = coding pass@1 (%). Scores sourced from published model cards and third-party evals — may vary by methodology.
Ollama lets you run open-source models locally with a single command. Install from ollama.com, then pull any compatible model.
Required VRAM depends on model size. Most consumer GPUs handle 7–14B models comfortably. CPU inference is slower but works.
This library is maintained manually and updated as the field moves. If you know a model worth indexing, spotted outdated data, or just want to say hello — reach out.