Magicoder S DS 6.7B GGUF by TheBloke

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Magicoder S DS 6.7B GGUF is an open-source language model by TheBloke. Features: 6.7b LLM, VRAM: 2.8GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  Arxiv:2305.06161   Arxiv:2312.02120 Base model:ise-uiuc/magicoder-... Base model:quantized:ise-uiuc/... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Deepseek   Gguf   Instruct   Quantized   Region:us

Magicoder S DS 6.7B GGUF Benchmarks

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

Magicoder S DS 6.7B GGUF Parameters and Internals

Model Type 
deepseek
Use Cases 
Areas:
coding tasks
Limitations:
May not work well in non-coding tasks, May make errors, produce misleading contents
Considerations:
Users should be aware of risks, biases, limitations.
Additional Notes 
Magicoder models are trained on synthetic data generated by OpenAI models. Pay attention to OpenAI's terms of use.
Training Details 
Data Sources:
Magicoder-OSS-Instruct-75K, Magicoder-Evol-Instruct-110K
Methodology:
OSS-Instruct
Input Output 
Input Format:
You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions. @@ Instruction {instruction} @@ Response
LLM NameMagicoder S DS 6.7B GGUF
Repository 🤗https://huggingface.co/TheBloke/Magicoder-S-DS-6.7B-GGUF 
Model NameMagicoder S DS 6.7B
Model CreatorIntellligent Software Engineering (iSE
Base Model(s)  ise-uiuc/Magicoder-S-DS-6.7B   ise-uiuc/Magicoder-S-DS-6.7B
Model Size6.7b
Required VRAM2.8 GB
Updated2026-04-17
MaintainerTheBloke
Model Typedeepseek
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Magicoder-S-DS-6.7B-GGUF.

Rank the Magicoder S DS 6.7B GGUF 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