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Deepseek Llm 7B Chat AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/deepseek-llm-7B-chat-AWQ 

Deepseek Llm 7B Chat AWQ Benchmarks

LLME Score: 0.15616
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Llm 7B Chat AWQ (TheBloke/deepseek-llm-7B-chat-AWQ)

Deepseek Llm 7B Chat AWQ Parameters and Internals

Model Type 
deepseek
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Volume:
2 trillion tokens
Methodology:
Initialization from 'deepseek-llm-7b-base' and fine-tuning on extra instruction data.
LLM NameDeepseek Llm 7B Chat AWQ
Repository 🤗https://huggingface.co/TheBloke/deepseek-llm-7B-chat-AWQ 
Model NameDeepseek LLM 7B Chat
Model CreatorDeepSeek
Base Model(s)  Deepseek Llm 7B Chat   deepseek-ai/deepseek-llm-7b-chat
Model Size7b
Required VRAM4.8 GB
Updated2024-12-22
MaintainerTheBloke
Model Typedeepseek
Model Files  4.8 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
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 Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/deepseek-llm-7B-chat-AWQ.

Rank the Deepseek Llm 7B Chat AWQ 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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Release v20241217
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