GRPO 1epoch Train By Mistake Collections Without Hint by IDoNotHaveAName

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  Arxiv:2402.03300   Autotrain compatible Base model:finetune:idonothave... Base model:idonothaveaname/ori...   Conversational Dataset:idonothaveaname/mistak...   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   X-r1

GRPO 1epoch Train By Mistake Collections Without Hint Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GRPO 1epoch Train By Mistake Collections Without Hint (IDoNotHaveAName/GRPO-1epoch-train-by-mistake-collections-without-hint)
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GRPO 1epoch Train By Mistake Collections Without Hint Parameters and Internals

LLM NameGRPO 1epoch Train By Mistake Collections Without Hint
Repository ๐Ÿค—https://huggingface.co/IDoNotHaveAName/GRPO-1epoch-train-by-mistake-collections-without-hint 
Base Model(s)  IDoNotHaveAName/primitive_grpo_1.5B   IDoNotHaveAName/primitive_grpo_1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2025-07-20
MaintainerIDoNotHaveAName
Model Typeqwen2
Model Files  3.1 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than IDoNotHaveAName/GRPO-1epoch-train-by-mistake-collections-without-hint.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124