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zerg2187
/
GRPO_structeval_t_qwen3_v1

Reinforcement Learning
Transformers
Safetensors
English
qwen3
text-generation
grpo
trl
structured-output
sft-to-grpo
text-generation-inference
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use zerg2187/GRPO_structeval_t_qwen3_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zerg2187/GRPO_structeval_t_qwen3_v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("zerg2187/GRPO_structeval_t_qwen3_v1")
    model = AutoModelForCausalLM.from_pretrained("zerg2187/GRPO_structeval_t_qwen3_v1")
  • Notebooks
  • Google Colab
  • Kaggle
GRPO_structeval_t_qwen3_v1
2.67 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
zerg2187's picture
zerg2187
Upload GRPO fine-tuned merged model
a49ffcb verified 4 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    2.32 kB
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  • added_tokens.json
    707 Bytes
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  • config.json
    1.96 kB
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  • generation_config.json
    211 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    2.65 GB
    xet
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.43 kB
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  • vocab.json
    2.78 MB
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