sandeep123/grpo-qwen3-4b-nonthinking-likelihood-2048-20260918

text-generation model by sandeep123

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GRPO with a detached correct-response likelihood-rank reward; exact equation and provenance are recorded in baseline metadata. Training explicitly renders enablethinking=False, recorded as thinkingmode: false in the scientific contract. The pinned tokenizer and chat template remain unchanged. Use the same explicit keyword at inference, particularly for Qwen3-1.7B, whose default template enables thinking. Every checkpoint in this repository requires explicit nonthinking provenance. This public repository retains every published optimizer-update adapter, including update zero (the initial, untrained adapter). Training is planned for 4 epochs on the same 2,048-question training split as the earlier STRIDE runs. The global prompt batch is 64 questions with eight rollouts each (512 responses per update), giving 32 updates per epoch and 128 planned updates. Prompt plus response context is capped at 8,192 tokens; the random seed is 42. Completion is reported by actual entries in checkpointindex.json; planned epochs do not imply that training has finished. No evaluation or…

sandeep123/grpo-qwen3-4b-nonthinking-likelihood-2048-20260918 on Hugging Face A short preview, not the full document.

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  1. Qwen/Qwen3-4B-Instruct-2507: grpolikelihood, coefficient=0.25
  2. Reload a particular adapter
  3. Inference versus training resume
  4. Verified server storage policy

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Model overview

sandeep123/grpo-qwen3-4b-nonthinking-likelihood-2048-20260918 is a text-generation model repository published by sandeep123 on Hugging Face. The source reports the peft library.

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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
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-09-18T06:08:35.000Z
Last modified
2026-09-18T06:08:37.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3-4B-Instruct-2507

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 2026-09-18T06:35:09.247Z. Daily imports are snapshots, not real-time monitoring.

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