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Cat Llama 3 70B Instruct 8.1bpw H8 EXL2 by llmixer

 »  All LLMs  »  llmixer  »  Cat Llama 3 70B Instruct 8.1bpw H8 EXL2   URL Share it on

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  8-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/llmixer/Cat-Llama-3-70B-instruct-8.1bpw-h8-exl2 

Cat Llama 3 70B Instruct 8.1bpw H8 EXL2 Benchmarks

LLME Score: 0.18321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cat Llama 3 70B Instruct 8.1bpw H8 EXL2 (llmixer/Cat-Llama-3-70B-instruct-8.1bpw-h8-exl2)

Cat Llama 3 70B Instruct 8.1bpw H8 EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
Supports 8.1 bpw exl2 quantization with additional quants available.
LLM NameCat Llama 3 70B Instruct 8.1bpw H8 EXL2
Repository 🤗https://huggingface.co/llmixer/Cat-Llama-3-70B-instruct-8.1bpw-h8-exl2 
Model Size70b
Required VRAM72.9 GB
Updated2025-02-22
Maintainerllmixer
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-9   8.5 GB: 2-of-9   8.6 GB: 3-of-9   8.4 GB: 4-of-9   8.5 GB: 5-of-9   8.5 GB: 6-of-9   8.6 GB: 7-of-9   8.4 GB: 8-of-9   4.8 GB: 9-of-9
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128258
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than llmixer/Cat-Llama-3-70B-instruct-8.1bpw-h8-exl2.

Rank the Cat Llama 3 70B Instruct 8.1bpw 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 v20241227
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