Deepseek Coder 6.7B Instruct by deepseek-ai

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  Autotrain compatible   Codegen   Conversational   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Deepseek Coder 6.7B Instruct Benchmarks

Deepseek Coder 6.7B Instruct (deepseek-ai/deepseek-coder-6.7b-instruct)

Deepseek Coder 6.7B Instruct Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
coding assistant, software development
Applications:
code completion, project-level code corpus analysis
Primary Use Cases:
code completion, code infilling
Supported Languages 
English (fluent), Chinese (fluent)
Training Details 
Data Sources:
2T tokens consisting of 87% code and 13% natural language in both English and Chinese
Data Volume:
2T tokens
Context Length:
16000
Input Output 
Accepted Modalities:
text
LLM NameDeepseek Coder 6.7B Instruct
Repository 🤗https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-22
Maintainerdeepseek-ai
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|EOT|>
Vocabulary Size32256
Torch Data Typebfloat16

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...pseek Coder 6.7B Instruct GGUF17358952 GB
...epseek Coder 6.7B Instruct AWQ1581013 GB
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...pseek Coder 6.7B Instruct GPTQ241623 GB

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Rank the Deepseek Coder 6.7B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217