OpenCodeInterpreter DS 6.7B 6.0bpw H6 EXL2 by LoneStriker

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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 6.0bpw H6 EXL2 Benchmarks

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 6.0bpw H6 EXL2 (LoneStriker/OpenCodeInterpreter-DS-6.7B-6.0bpw-h6-exl2)

OpenCodeInterpreter DS 6.7B 6.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation, code generation
LLM NameOpenCodeInterpreter DS 6.7B 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/OpenCodeInterpreter-DS-6.7B-6.0bpw-h6-exl2 
Model Size6.7b
Required VRAM5.2 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  5.2 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

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenCodeInterpreter-DS-6.7B-6.0bpw-h6-exl2.

Rank the OpenCodeInterpreter DS 6.7B 6.0bpw H6 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 v20241217