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CodeLlama 70B Instruct Hf 2.65bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  CodeLlama 70B Instruct Hf 2.65bpw H6 EXL2   URL Share it on

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Endpoints compatible   Exl2   Instruct   Llama   Llama2   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow

CodeLlama 70B Instruct Hf 2.65bpw H6 EXL2 Benchmarks

LLME Score: 0.19224
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodeLlama 70B Instruct Hf 2.65bpw H6 EXL2 Parameters and Internals

LLM NameCodeLlama 70B Instruct Hf 2.65bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/CodeLlama-70b-Instruct-hf-2.65bpw-h6-exl2 
Model Size70b
Required VRAM23.4 GB
Updated2024-09-07
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   6.3 GB: 3-of-3
Supported Languagescode
Quantization Typeexl2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typebfloat16
CodeLlama 70B Instruct Hf 2.65bpw H6 EXL2 (LoneStriker/CodeLlama-70b-Instruct-hf-2.65bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/CodeLlama-70b-Instruct-hf-2.65bpw-h6-exl2.

Rank the CodeLlama 70B Instruct Hf 2.65bpw 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 v2024072803
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