LM_Agents: A concise repo for post-training LLM agents with SFT, on-policy distillation and RL fine-tuning on SWE-bench and multi-turn benchmarks.
Pillar = mean of 3 scaled values = 2.5.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs
[](https://agenttape.com/agents/lm-agents)
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