DeepSeek R1 0528 Qwen3 8B Esper3 by ValiantLabs

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DeepSeek R1 0528 Qwen3 8B Esper3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DeepSeek R1 0528 Qwen3 8B Esper3 Parameters and Internals

LLM NameDeepSeek R1 0528 Qwen3 8B Esper3
Repository 🤗https://huggingface.co/ValiantLabs/DeepSeek-R1-0528-Qwen3-8B-Esper3 
Base Model(s)  DeepSeek R1 0528 Qwen3 8B   deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size8b
Required VRAM32.7 GB
Updated2025-06-09
MaintainerValiantLabs
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   4.8 GB: 6-of-7   3.5 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.52.3
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|end▁of▁sentence|>
Vocabulary Size151936
Torch Data Typefloat32
DeepSeek R1 0528 Qwen3 8B Esper3 (ValiantLabs/DeepSeek-R1-0528-Qwen3-8B-Esper3)

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Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/DeepSeek-R1-0528-Qwen3-8B-Esper3.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124