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DeepSeek 67B MMIQC by Vivacem

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DeepSeek 67B MMIQC is an open-source language model by Vivacem. Features: 67b LLM, VRAM: 135GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11.

  Arxiv:2401.09003   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vivacem/DeepSeek-67B-MMIQC 

DeepSeek 67B MMIQC Benchmarks

LLME Score: 0.11053
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 (Vivacem/DeepSeek-67B-MMIQC)
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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
Updated2026-05-28
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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...penbuddy Deepseek 67B V15.3 4K4K / 135 GB61
Openbuddy Deepseek 67B V15.14K / 135 GB5621
...penbuddy Deepseek 67B V15 Base4K / 135 GB1260
...penbuddy Deepseek 67B V15.3 4K4K / 135 GB51
Deepmoney 67B Chat4K / 135 GB1823
...67B Spicy 3.1 1 5.0bpw H6 EXL24K / 43.7 GB41
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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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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