RewardAnything 8B V1 by WisdomShell

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  Arxiv:2506.03637 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational   En   Principle-following   Qwen   Qwen3   Region:us   Reward-model   Rlhf   Safetensors   Sharded   Tensorflow   Zh

RewardAnything 8B V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RewardAnything 8B V1 (WisdomShell/RewardAnything-8B-v1)
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RewardAnything 8B V1 Parameters and Internals

LLM NameRewardAnything 8B V1
Repository ๐Ÿค—https://huggingface.co/WisdomShell/RewardAnything-8B-v1 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2025-06-17
MaintainerWisdomShell
Model Typeqwen3
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.5 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
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 WisdomShell/RewardAnything-8B-v1.

Rank the RewardAnything 8B V1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124