DeepSeek 67B MMIQC by Vivacem

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  Arxiv:2401.09003   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

DeepSeek 67B MMIQC Benchmarks

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

DeepSeek 67B MMIQC Parameters and Internals

Training Details 
Data Sources:
https://huggingface.co/datasets/Vivacem/MMIQC
Methodology:
fine-tuning
LLM NameDeepSeek 67B MMIQC
Repository 🤗https://huggingface.co/Vivacem/DeepSeek-67B-MMIQC 
Model Size67b
Required VRAM135 GB
Updated2025-08-16
MaintainerVivacem
Model Typellama
Model Files  4.8 GB: 1-of-28   4.9 GB: 2-of-28   4.8 GB: 3-of-28   4.9 GB: 4-of-28   4.8 GB: 5-of-28   4.9 GB: 6-of-28   4.8 GB: 7-of-28   4.9 GB: 8-of-28   4.8 GB: 9-of-28   4.9 GB: 10-of-28   4.8 GB: 11-of-28   4.9 GB: 12-of-28   4.8 GB: 13-of-28   4.9 GB: 14-of-28   4.8 GB: 15-of-28   4.9 GB: 16-of-28   4.8 GB: 17-of-28   4.9 GB: 18-of-28   4.8 GB: 19-of-28   4.9 GB: 20-of-28   4.8 GB: 21-of-28   4.9 GB: 22-of-28   4.8 GB: 23-of-28   4.9 GB: 24-of-28   4.8 GB: 25-of-28   4.9 GB: 26-of-28   4.8 GB: 27-of-28   4.1 GB: 28-of-28
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|end▁of▁sentence|>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Vivacem/DeepSeek-67B-MMIQC.

Rank the DeepSeek 67B MMIQC Capabilities

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