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DeepSeek V3.0324 AWQ by cognitivecomputations

 »  All LLMs  »  cognitivecomputations  »  DeepSeek V3.0324 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Custom code   Deepseek v3   En   Endpoints compatible   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/DeepSeek-V3-0324-AWQ 

DeepSeek V3.0324 AWQ Benchmarks

LLME Score: 0.27135
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek V3.0324 AWQ (cognitivecomputations/DeepSeek-V3-0324-AWQ)
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DeepSeek V3.0324 AWQ Parameters and Internals

LLM NameDeepSeek V3.0324 AWQ
Repository 🤗https://huggingface.co/cognitivecomputations/DeepSeek-V3-0324-AWQ 
Base Model(s)  DeepSeek V3.0324   deepseek-ai/DeepSeek-V3-0324
Required VRAM351.9 GB
Updated2025-07-13
Maintainercognitivecomputations
Model Typedeepseek_v3
Model Files  10.0 GB: 1-of-36   10.0 GB: 2-of-36   10.0 GB: 3-of-36   10.0 GB: 4-of-36   10.0 GB: 5-of-36   10.0 GB: 6-of-36   10.0 GB: 7-of-36   10.0 GB: 8-of-36   10.0 GB: 9-of-36   10.0 GB: 10-of-36   10.0 GB: 11-of-36   10.0 GB: 12-of-36   10.0 GB: 13-of-36   10.0 GB: 14-of-36   10.0 GB: 15-of-36   10.0 GB: 16-of-36   10.0 GB: 17-of-36   10.0 GB: 18-of-36   10.0 GB: 19-of-36   10.0 GB: 20-of-36   10.0 GB: 21-of-36   10.0 GB: 22-of-36   10.0 GB: 23-of-36   10.0 GB: 24-of-36   10.0 GB: 25-of-36   10.0 GB: 26-of-36   10.0 GB: 27-of-36   10.0 GB: 28-of-36   10.0 GB: 29-of-36   10.0 GB: 30-of-36   10.0 GB: 31-of-36   10.0 GB: 32-of-36   10.0 GB: 33-of-36   10.0 GB: 34-of-36   10.0 GB: 35-of-36   1.9 GB: 36-of-36
Supported Languagesen zh
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureDeepseekV3ForCausalLM
Licensemit
Context Length163840
Model Max Length163840
Transformers Version4.48.0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size129280
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/DeepSeek-V3-0324-AWQ.

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Instruction Following and Task Automation  
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Release v20241124
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