Meta Llama 3 8B AQLM PV 1Bit 1x16 by ISTA-DASLab

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Meta Llama 3 8B AQLM PV 1Bit 1x16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B AQLM PV 1Bit 1x16 (ISTA-DASLab/Meta-Llama-3-8B-AQLM-PV-1Bit-1x16)

Meta Llama 3 8B AQLM PV 1Bit 1x16 Parameters and Internals

Model Type 
text generation, conversational
Additional Notes 
The quantization uses PV-Tuning on top of AQLM with 1 codebook of 16 bits for groups of 16 weights. Significant footprint savings can be realized by further quantizing embeddings/logits matrices.
LLM NameMeta Llama 3 8B AQLM PV 1Bit 1x16
Repository ๐Ÿค—https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-AQLM-PV-1Bit-1x16 
Model Size8b
Required VRAM4.1 GB
Updated2025-02-22
MaintainerISTA-DASLab
Model Typellama
Model Files  4.1 GB
Quantization Type1bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 ISTA-DASLab/Meta-Llama-3-8B-AQLM-PV-1Bit-1x16.

Rank the Meta Llama 3 8B AQLM PV 1Bit 1x16 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