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Meta Llama 3 8B Instruct AQLM 2Bit 1x16 by ISTA-DASLab

 »  All LLMs  »  ISTA-DASLab  »  Meta Llama 3 8B Instruct AQLM 2Bit 1x16   URL Share it on

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  Arxiv:2401.06118   2bit   Aqlm   Autotrain compatible   Conversational   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16 

Meta Llama 3 8B Instruct AQLM 2Bit 1x16 Benchmarks

LLME Score: 0.18966
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 Instruct AQLM 2Bit 1x16 (ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16)

Meta Llama 3 8B Instruct AQLM 2Bit 1x16 Parameters and Internals

Model Type 
conversational, text-generation
Additional Notes 
For quantization, 1 codebook of 16 bits was used, reducing model size to 4.1 GB.
Release Notes 
Version:
02.05.2024
Notes:
Improved fine-tuning procedure.
LLM NameMeta Llama 3 8B Instruct AQLM 2Bit 1x16
Repository 🤗https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16 
Model Size8b
Required VRAM4.1 GB
Updated2025-02-22
MaintainerISTA-DASLab
Model Typellama
Instruction-BasedYes
Model Files  4.1 GB
Quantization Type2bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16

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...B Instruct Gradient 1048K 4bit1024K / 4.5 GB212
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Note: green Score (e.g. "73.2") means that the model is better than ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16.

Rank the Meta Llama 3 8B Instruct AQLM 2Bit 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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Release v20241227
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