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colar-gemma-3-1b-gsm-hard-rl
agurung/colar-gemma-3-1b-gsm-hard-rl
colar-gemma-3-1b-gsm-hard-rl is a reinforcement learning model from agurung. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository stores CoLAR exports in a Hugging Face-compatible layout. The repo root works for standard Transformers loading, and extrastate.pt preserves the latent head for latent decoding.
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At a glance
- Task
- Reinforcement Learning
- License
- apache-2.0
- Model type
- gemma3_text
- Access
- Public
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026
- SHA
- 815688f8
Base models
Model card
From the Hugging Face model README
CoLAR Gemma 3-1B GSM-Hard RL
This repository stores CoLAR exports in a Hugging Face-compatible layout. The repo root works for standard Transformers loading, and extra_state.pt preserves the latent head for latent decoding.
Current Revision
- Current tag:
best-epoch00-step768 - Stage: reinforcement-learning
- Task: GSM-Hard reasoning
- Compare slug:
gemma3_1b_colar_gsm_hard_rl
Tagged Checkpoints
| Tag | Local reference | Status |
|---|---|---|
best-epoch00-step768 | best epoch0 step768 export | current commit |
Files
- HF model files at repo root for standard decoding
extra_state.ptfor CoLAR latent decodingexport_meta.jsonfrom the local exportlatent_metadata.jsonwith archival provenance
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('agurung/colar-gemma-3-1b-gsm-hard-rl', revision='best-epoch00-step768', torch_dtype='auto', device_map='auto')
tokenizer = AutoTokenizer.from_pretrained('agurung/colar-gemma-3-1b-gsm-hard-rl', revision='best-epoch00-step768')
For latent decoding, download the same revision and use extra_state.pt together with the repo root model files.
Notes
- This is the RL export selected by the server6 matrix scripts as the best checkpoint.
- Task
- Reinforcement Learning
- Type
- gemma3_text
- License
- apache-2.0
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026