Deepseek Coder 5.7bmqa Base by deepseek-ai

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Deepseek Coder 5.7bmqa Base is an open-source language model by deepseek-ai. Features: LLM, VRAM: 11.4GB, Context: 16K, License: other, Code Generating, LLM Explorer Score: 0.1.

  Codegen   Deploy:azure   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Deepseek Coder 5.7bmqa Base Benchmarks

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

Deepseek Coder 5.7bmqa Base Parameters and Internals

LLM NameDeepseek Coder 5.7bmqa Base
Repository 🤗https://huggingface.co/deepseek-ai/deepseek-coder-5.7bmqa-base 
Required VRAM11.4 GB
Updated2025-12-22
Maintainerdeepseek-ai
Model Typellama
Model Files  9.9 GB: 1-of-2   1.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typebfloat16

Quantized Models of the Deepseek Coder 5.7bmqa Base

Model
Likes
Downloads
VRAM
...epseek Coder 5.7bmqa Base GGUF54692 GB
...eepseek Coder 5.7bmqa Base AWQ063 GB

Best Alternatives to Deepseek Coder 5.7bmqa Base

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Likes
Codellama Cairo Instruct GGUF16K / 4.1 GB261
Tinyllama Coder Py V164K / 0.7 GB100
Tinyllama Coder Py V154K / 0.7 GB100
CodeGen Instruct16K / 0.8 GB410
Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/deepseek-coder-5.7bmqa-base.

Rank the Deepseek Coder 5.7bmqa Base 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 v20260328a