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Deepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2 by LoneStriker

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Deepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 67b LLM, VRAM: 43.7GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

  Dataset:unalignment/spicy-3.1   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/deepseek-llm-67b-Spicy-3.1-1-5.0bpw-h6-exl2 

Deepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2 Benchmarks

LLME Score: 0.10307
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2 (LoneStriker/deepseek-llm-67b-Spicy-3.1-1-5.0bpw-h6-exl2)
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Deepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
DeepSeek LLM models are open source for the research community. Text completion example provided in Python.
Supported Languages 
English (High proficiency), Chinese (High proficiency)
Training Details 
Data Sources:
unalignment/spicy-3.1
Data Volume:
2 trillion tokens
Model Architecture:
Grouped-Query Attention
LLM NameDeepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/deepseek-llm-67b-Spicy-3.1-1-5.0bpw-h6-exl2 
Model Size67b
Required VRAM43.7 GB
Updated2026-05-25
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-6   8.6 GB: 2-of-6   8.6 GB: 3-of-6   8.6 GB: 4-of-6   8.6 GB: 5-of-6   0.7 GB: 6-of-6
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/deepseek-llm-67b-Spicy-3.1-1-5.0bpw-h6-exl2.

Rank the Deepseek Llm 67B Spicy 3.1 1 5.0bpw H6 EXL2 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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