Attoloop/PermitForge-Qwen3.8-27B-GRPO
text-generation model by Attoloop
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Model card & documentation
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A LoRA adapter trained with GRPO on PermitForge, an OpenEnv environment where an agent chooses emissions controls and stack heights for a synthetic plant so that it meets every air-quality standard at the lowest annualized cost. The result is a null result: no measurable change. On the same 10 held-out tasks, three repeats each, native verification for every submission, the base model saves 43.94% of the draft design's cost and this adapter saves 43.90%. The paired difference is -0.04 percentage points (95% CI -2.8 to +2.6). It is published so the run can be checked and continued, not because it is better. Full…
Read the full model card ↗ · Preview checked 2026-10-30T07:36:31.330Z
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Model overview
Attoloop/PermitForge-Qwen3.8-27B-GRPO is a text-generation model repository published by Attoloop on Hugging Face. The source reports the peft 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
- peft
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T06:11:40.000Z
- Last modified
- 2026-10-21T06:12:10.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-27B
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 2026-10-21T06:44:13.178Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.