{"adoption": {"forks": 387, "observed_at": "2026-08-28T04:09:10.997636+00:00", "stars": 5129}, "canonical_url": "https://ross.abutalabs.com/products/easyr1", "card": {"archived": false, "artifact_type": "framework", "description": "EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL", "domain": ["large-language-models", "reinforcement-learning", "machine-learning", "deep-learning"], "enriched": true, "function": ["llm-training", "reinforcement-learning", "machine-learning", "gpu-computing"], "health_score": 95, "homepage": "https://verl.readthedocs.io", "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["hiyouga/EasyR1"], "name": "hiyouga/EasyR1", "platform": ["python"], "pushed_at": "2026-08-26T21:14:17+00:00", "repo": "hiyouga/EasyR1", "stars": 5129, "tags": ["grpo", "dapo", "verl", "vllm", "vision-language-models", "rlhf", "qwen", "deepseek", "lora", "multi-modal", "gpu", "docker", "linux"], "topics": ["ai", "gpt", "llm", "nlp", "reinforcement-learning", "rl", "deepseek", "qwen"], "urls": [], "use_cases": ["train an LLM with GRPO reinforcement learning", "fine-tune Qwen vision-language models with RL", "run RLHF post-training on DeepSeek-R1 distill models", "scale multi-modal RL training across GPUs", "apply LoRA-based reinforcement learning to a 7B model", "train language models with DAPO or GSPO algorithms"], "what_it_is": "EasyR1 is an efficient, scalable reinforcement learning training framework for large language models and vision-language models, built as a fork of veRL. It supports algorithms like GRPO, DAPO, and GSPO, leveraging HybridEngine and vLLM's SPMD mode for performance.", "when_to_avoid": ["you only need supervised fine-tuning without RL", "you lack multi-GPU hardware or Docker support", "you need a simple inference or serving solution rather than training", "you prefer a framework with broader model coverage than the supported Qwen/Llama/DeepSeek families"], "when_to_choose": ["you need RL post-training (GRPO/DAPO/GSPO) for LLMs or VLMs", "you want a veRL-based framework with vision-language model support", "you need scalable multi-GPU RL training with vLLM rollouts", "you want checkpointing, experiment tracking, and LoRA in one RL framework"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/easyr1", "repo": "hiyouga/EasyR1", "role": "main", "score": 65}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:10.997636+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:02:03.004517+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4368af2dab48a406e253705c4c62eeb2011cfd2f1decaf21ed9ab8d5f4d8e271", "fetched_at": "2026-08-28T04:09:10.997636+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hiyouga/EasyR1"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 39, "rhythm": 36}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 557, "days_push": 7, "days_rel": 349, "gap_med": 77.5, "n_releases_24m": 3}, "score": 65, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}