FineEnvs/LFM2.5-2.6B-opencode-RL
text-generation model by FineEnvs
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Model card & documentation
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[](https://huggingface.co/spaces/AdithyaSK/multi-harness-rl) A full fine-tune of LiquidAI/LFM2.5-2.6B for agentic data-analysis tasks, trained with asynchronous GRPO (TRL Async GRPO) using OpenCode. This release is step 1,000 on main, scoring 52.3% 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. Tool-call savings compare tasks solved by both the base model and checkpoint, with a different matched cohort at each checkpoint. The animation stops at this revision's step 1,000. Static chart · Plotted data · Interactive article TRL Async GRPO with correctness plus a tool-call efficiency bonus, initialized from the base model. All training…
Read the full model card ↗ · Preview checked 2026-10-01T07:26:25.311Z
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- LFM2.5-2.6B-opencode-RL
- Training and evaluation curves
- Training
- Evaluation
- Load the checkpoint
- Related releases
- License and provenance
- Citation
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Model overview
FineEnvs/LFM2.5-2.6B-opencode-RL is a text-generation model repository published by FineEnvs on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 2,697,198,592
- Architecture
- Lfm2ForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-01T06:34:09.000Z
- Last modified
- 2026-10-01T06:34:36.000Z
Compatibility and lineage
Reported languages: en
Reported base models: LiquidAI/LFM2.5-2.6B
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-01T06:38:27.225Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.