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OpenCodeInterpreter DS 6.7B 8.0bpw H8 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  OpenCodeInterpreter DS 6.7B 8.0bpw H8 EXL2   URL Share it on

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  Arxiv:2402.14658   Autotrain compatible   Code   Codegen   Conversational   En   Endpoints compatible   Exl2   Instruct   Llama   Pytorch   Quantized   Region:us   Safetensors

OpenCodeInterpreter DS 6.7B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.18244
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 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation, code generation
LLM NameOpenCodeInterpreter DS 6.7B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/OpenCodeInterpreter-DS-6.7B-8.0bpw-h8-exl2 
Model Size6.7b
Required VRAM6.9 GB
Updated2024-11-21
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  6.9 GB
Supported Languagesen
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16
OpenCodeInterpreter DS 6.7B 8.0bpw H8 EXL2 (LoneStriker/OpenCodeInterpreter-DS-6.7B-8.0bpw-h8-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenCodeInterpreter-DS-6.7B-8.0bpw-h8-exl2.

Rank the OpenCodeInterpreter DS 6.7B 8.0bpw H8 EXL2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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