LLM Deployment Guides — Step-by-Step Instructions
Practical walkthroughs for running, quantizing and serving open models
Guides in the making: “What is …?”
Step-by-step deployment guides are being written. Until then, these plain-language benchmark explainers answer the most common “What is X?” questions.
Claw-Eval Avg is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'Claw-Eval average score - agentic codi...
Read the explainer →Claw-Eval Pass^3 is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'Claw-Eval Pass^3 - third-pass pass ...
Read the explainer →SkillsBench Avg5 is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'SkillsBench Avg5 - evaluated via Op...
Read the explainer →NL2Repo asks for something very hard: generate a complete, working software repository from a natural-language description. The evaluated model typically run...
Read the explainer →QwenWebBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'QwenWebBench - internal front-end code ...
Read the explainer →TAU3-Bench is a benchmark for how well a model acts as a general-purpose agent. The official description says: 'TAU3-Bench - agentic tool use benchmark'. Bel...
Read the explainer →Tool Decathlon is a benchmark for how well a model acts as a general-purpose agent. The official description says: 'Tool Decathlon - agentic tool use benchma...
Read the explainer →IMOAnswerBench evaluates on International Mathematical Olympiad problems, but only grades the final answer value (answer-only evaluation) instead of full pro...
Read the explainer →