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Magicoder S DS 6.7B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Magicoder S DS 6.7B AWQ   URL Share it on

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  Arxiv:2305.06161   Arxiv:2312.02120   4-bit   Autotrain compatible   Awq Base model:ise-uiuc/magicoder-... Base model:quantized:ise-uiuc/... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Magicoder-S-DS-6.7B-AWQ 

Magicoder S DS 6.7B AWQ Benchmarks

LLME Score: 0.14935
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 AWQ (TheBloke/Magicoder-S-DS-6.7B-AWQ)

Magicoder S DS 6.7B AWQ Parameters and Internals

Model Type 
deepseek, text-generation
Use Cases 
Areas:
coding tasks
Limitations:
may not work well in non-coding tasks
Considerations:
Users should be aware of the risks, biases, and limitations of the model.
Additional Notes 
Magicoder models are trained on synthetic data generated by OpenAI models.
Training Details 
Data Sources:
Magicoder-OSS-Instruct-75K, Magicoder-Evol-Instruct-110K
Methodology:
OSS-Instruct
Context Length:
16384
Input Output 
Input Format:
@@ Instruction {prompt} @@ Response
Accepted Modalities:
text
LLM NameMagicoder S DS 6.7B AWQ
Repository 🤗https://huggingface.co/TheBloke/Magicoder-S-DS-6.7B-AWQ 
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 VRAM3.9 GB
Updated2025-02-22
MaintainerTheBloke
Model Typedeepseek
Instruction-BasedYes
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typefloat16

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

Rank the Magicoder S DS 6.7B AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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