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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

ARC: 38.14 vs 96.7 (so35)-60.6%
HellaSwag: 55.09 vs 95.3 (gpt4)-42.2%
MMLU: 39.02 vs 88.3 (so35)-55.8%
TruthfulQA: 45.56 vs 59 (gpt4)-22.8%
WinoGrande: 56.83 vs 87.5 (gpt4)-35.1%
GSM8K: 26.76 vs 96.4 (so35)-72.2%
HumanEvalA: 48.17
Python Eva: 80.22 vs 92 (so35)-12.8%
Java Eval: 53.34
Javascript: 65.8
CPP Eval: 59.66
PHP Eval: 59.4
Julia Eval: 38.84
D Eval: 21.59
Lua Eval: 47.78
R Eval: 38.56
Racket Eva: 20.87
Rust Eval: 47.73
Swift Eval: 44.22
LLME Score: 0.28264
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 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
Updated2024-11-21
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
Deepseek Coder 6.7B Instruct (deepseek-ai/deepseek-coder-6.7b-instruct)

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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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Release v20241110
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