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DeepSeek V3 AWQ by cognitivecomputations

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Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/DeepSeek-V3-AWQ 

DeepSeek V3 AWQ Benchmarks

LMSys ELO: 1319 vs 1272 (so35)3.7%
LLME Score: 0.39352
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek V3 AWQ (cognitivecomputations/DeepSeek-V3-AWQ)
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DeepSeek V3 AWQ Parameters and Internals

LLM NameDeepSeek V3 AWQ
Repository 🤗https://huggingface.co/cognitivecomputations/DeepSeek-V3-AWQ 
Base Model(s)  DeepSeek V3   deepseek-ai/DeepSeek-V3
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.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size129280
Torch Data Typefloat16

Best Alternatives to DeepSeek V3 AWQ

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Context / RAM
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DeepSeek V3 AWQ160K / 351.9 GB139235
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DeepSeek V3.0324 AWQ160K / 351.9 GB479022
DeepSeek V3.0324 AWQ160K / 351.9 GB406122
DeepSeek R1 AWQ160K / 225 GB576284
DeepSeek R1 AWQ160K / 225 GB398083
DeepSeek R1 0528 GGUF160K /  GB129430181
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DeepSeek R1 0528 FP4160K / 107 GB7160433
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/DeepSeek-V3-AWQ.

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Release v20241124
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