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Cat Llama 3 8B Instruct Aqlm by catid

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  Aqlm   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/catid/cat-llama-3-8b-instruct-aqlm 

Cat Llama 3 8B Instruct Aqlm Benchmarks

LLME Score: 0.15093
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 8B Instruct Aqlm (catid/cat-llama-3-8b-instruct-aqlm)
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Cat Llama 3 8B Instruct Aqlm Parameters and Internals

Model Type 
Instruct
Additional Notes 
Results can be reproduced following instructions from a GitHub repository.
Training Details 
Methodology:
global fine-tuning
LLM NameCat Llama 3 8B Instruct Aqlm
Repository 🤗https://huggingface.co/catid/cat-llama-3-8b-instruct-aqlm 
Model Size8b
Required VRAM6.1 GB
Updated2025-09-22
Maintainercatid
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than catid/cat-llama-3-8b-instruct-aqlm.

Rank the Cat Llama 3 8B Instruct Aqlm 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 v20241124
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