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Penguin-N/
schema-t32-qwen-think-r3

Name: schema-t32-qwen-think-r3
Availability: InStock

transformers

reinforcement-learning

agriculture

endpoints_compatible

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schema-t32-qwen-think-r3

Checkpoints from one training run. Every checkpoint lives on its own revision, not on main -- this branch carries only this index.

Base model: Qwen/Qwen3-4B-Instruct-2507
Algorithm: GRPO
Seed: 44
Cell: E2-Q-T-R3
Schedule: 800 steps, saving every 200
Reasoning format: require_think=True, thinking_mode=think, think_tag=tool_call

Revisions

Revision	Step	Files
`step-800`	800	15
`step-600`	600	15
`step-400`	400	15
`step-200`	200	15

Loading a checkpoint

python

from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Penguin-N/schema-t32-qwen-think-r3"
rev  = "step-800"

model = AutoModelForCausalLM.from_pretrained(repo, revision=rev)
tokenizer = AutoTokenizer.from_pretrained(repo, revision=rev)

Omitting revision resolves to main, which holds no weights.

Provenance

Each revision carries a run_manifest.json recording the base model, the seed, the training schedule, the reasoning format the run trained under, and a SHA-256 for every file.

Checkpoint selection is terminal or last-valid. No checkpoint here was chosen by validation score.