Instructions to use Shaer-AI-2/Shaer-adapters-grpo-short1k-no-trio-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaer-AI-2/Shaer-adapters-grpo-short1k-no-trio-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shaer-AI-2/Shaer-adapters-grpo-short1k-no-trio-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2150, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/grpo_resume_manifest.json
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"manifest_path": "manifests/fresh_sft/train/latest.json",
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"adapter_repo": "Shaer-AI/Shaer-adapters"
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},
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"timestamp_utc": "2026-04-13T12:
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"config_fingerprint": "002103f46be89ed6311e30cbbf1952cf127698400c47c48f018bf0a5f0eb1c65",
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"global_step":
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"output_repo": "Shaer-AI/Shaer-adapters-grpo-short1k-no-trio-v3"
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}
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"manifest_path": "manifests/fresh_sft/train/latest.json",
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"adapter_repo": "Shaer-AI/Shaer-adapters"
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},
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"timestamp_utc": "2026-04-13T12:38:40Z",
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"config_fingerprint": "002103f46be89ed6311e30cbbf1952cf127698400c47c48f018bf0a5f0eb1c65",
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"global_step": 2150,
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"output_repo": "Shaer-AI/Shaer-adapters-grpo-short1k-no-trio-v3"
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}
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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size 1465
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last-checkpoint/trainer_state.json
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