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OpenCodeInterpreter DS 6.7B GGUF by MaziyarPanahi

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OpenCodeInterpreter DS 6.7B GGUF is an open-source language model by MaziyarPanahi. Features: 6.7b LLM, VRAM: 2.5GB, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2402.14658   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:m-a-p/opencodeinter... Base model:quantized:m-a-p/ope...   Code   Conversational   En   Endpoints compatible   Gguf   Has space   Llama   Mistral   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/OpenCodeInterpreter-DS-6.7B-GGUF 

OpenCodeInterpreter DS 6.7B GGUF Benchmarks

LLME Score: 0.12767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCodeInterpreter DS 6.7B GGUF (MaziyarPanahi/OpenCodeInterpreter-DS-6.7B-GGUF)
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OpenCodeInterpreter DS 6.7B GGUF Parameters and Internals

Model Type 
text-generation
LLM NameOpenCodeInterpreter DS 6.7B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/OpenCodeInterpreter-DS-6.7B-GGUF 
Model NameOpenCodeInterpreter-DS-6.7B-GGUF
Model Creatorm-a-p
Base Model(s)  m-a-p/OpenCodeInterpreter-DS-6.7B   m-a-p/OpenCodeInterpreter-DS-6.7B
Model Size6.7b
Required VRAM2.5 GB
Updated2026-04-15
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.5 GB   3.6 GB   3.3 GB   3.0 GB   4.1 GB   3.9 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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

Rank the OpenCodeInterpreter DS 6.7B GGUF 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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