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Deepseek Coder 6.7B Instruct GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Codegen   Conversational   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors

Deepseek Coder 6.7B Instruct GPTQ Benchmarks

LLME Score: 0.16422
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Deepseek Coder 6.7B Instruct GPTQ Parameters and Internals

Model Type 
code generation, instruction-following
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
project-level code completion, infilling tasks
Supported Languages 
English (high), Chinese (high)
Training Details 
Data Sources:
87% code, 13% linguistic data in both English and Chinese
Data Volume:
2T tokens
Methodology:
Trained from scratch with fine-tuning on instruction data
Context Length:
16000
Model Architecture:
Code language model with a fill-in-the-blank task.
Input Output 
Input Format:
Chat format
Accepted Modalities:
text
Output Format:
Text
LLM NameDeepseek Coder 6.7B Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct-GPTQ 
Model NameDeepseek Coder 6.7B Instruct
Model CreatorDeepSeek
Base Model(s)  deepseek-ai/deepseek-coder-6.7b-instruct   deepseek-ai/deepseek-coder-6.7b-instruct
Model Size6.7b
Required VRAM3.9 GB
Updated2024-11-21
MaintainerTheBloke
Model Typedeepseek
Instruction-BasedYes
Model Files  3.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<|EOT|>
Vocabulary Size32256
Torch Data Typebfloat16
Deepseek Coder 6.7B Instruct GPTQ (TheBloke/deepseek-coder-6.7B-instruct-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/deepseek-coder-6.7B-instruct-GPTQ.

Rank the Deepseek Coder 6.7B Instruct GPTQ 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 v20241110
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