DeepSeek V3 AWQ by cognitivecomputations

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

  4-bit   Autotrain compatible   Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Custom code   Deepseek v3   En   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh

DeepSeek V3 AWQ Benchmarks

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)

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
Updated2025-02-05
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

Best Alternatives
Context / RAM
Downloads
Likes
DeepSeek R1 AWQ160K / 225 GB1064014
DeepSeek R1 GGUF160K /  GB301387522
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/DeepSeek-V3-AWQ.

Rank the DeepSeek V3 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 42577 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227