FineEnvs/Qwen3.5-2B-multiharness-RL

text-generation model by FineEnvs

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[](https://huggingface.co/spaces/AdithyaSK/multi-harness-rl) A full fine-tune of Qwen/Qwen3.5-2B for agentic data-analysis tasks, trained with asynchronous GRPO (TRL Async GRPO) using OpenCode, Claude Code, Codex, Mini-SWE-Agent. This release is step 500 on main, scoring 37.0% pass@1 across four evaluation harnesses. Article · Collection · Evaluation tasks · Training dashboard [](https://huggingface.co/spaces/AdithyaSK/multi-harness-rl) Training curves use a trailing 50-step mean (at least 10 observations). Evaluation markers show measured checkpoints; hollow markers and dotted segments indicate incomplete coverage. Faint background lines show the full recorded trajectory; colored lines reveal the measured checkpoints. The first frame shows the completed chart before replaying, so previews also contain the full curves. The tool-use panel shows absolute calls per graded evaluation rollout; this Qwen run used correctness-only rewards. The animation stops at this revision's step 500. Static chart · Plotted data · Interactive article TRL Async GRPO with binary correctness only, initialized from the base model. Each group uses one task…

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  1. Qwen3.5-2B-multiharness-RL
  2. Training and evaluation curves
  3. Training
  4. Evaluation
  5. Load the checkpoint
  6. Related releases
  7. License and provenance
  8. Citation

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Model overview

FineEnvs/Qwen3.5-2B-multiharness-RL is a text-generation model repository published by FineEnvs on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-generation
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
1
Hugging Face trending score
1
Reported safetensors parameters
2,213,241,664
Architecture
Qwen3_5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-01T06:36:04.000Z
Last modified
2026-10-01T06:36:14.000Z

Compatibility and lineage

Reported languages: en

Reported base models: Qwen/Qwen3.5-2B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-01T06:38:27.225Z. Daily imports are snapshots, not real-time monitoring.

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