OpenCodeInterpreter CL 70B 4.65bpw H6 EXL2 by LoneStriker

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  Arxiv:2402.14658   Autotrain compatible   Code   Codegen   En   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

OpenCodeInterpreter CL 70B 4.65bpw 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 CL 70B 4.65bpw H6 EXL2 (LoneStriker/OpenCodeInterpreter-CL-70B-4.65bpw-h6-exl2)

OpenCodeInterpreter CL 70B 4.65bpw H6 EXL2 Parameters and Internals

Model Type 
text generation, code generation
LLM NameOpenCodeInterpreter CL 70B 4.65bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/OpenCodeInterpreter-CL-70B-4.65bpw-h6-exl2 
Model Size70b
Required VRAM40.6 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-5   8.5 GB: 2-of-5   8.5 GB: 3-of-5   8.5 GB: 4-of-5   6.5 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/OpenCodeInterpreter-CL-70B-4.65bpw-h6-exl2.

Rank the OpenCodeInterpreter CL 70B 4.65bpw 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