Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 by ISTA-DASLab

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  Arxiv:2401.06118   Arxiv:2405.14852   2bit   Aqlm   Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 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 3.1 70B Instruct AQLM PV 2Bit 1x16 (ISTA-DASLab/Meta-Llama-3.1-70B-Instruct-AQLM-PV-2Bit-1x16)

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 Parameters and Internals

Model Type 
conversational, text generation
Additional Notes 
Official AQLM quantization, finetuned with PV-Tuning. Used 1 codebook of 16 bits and groupsize of 8.
LLM NameMeta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16
Repository ๐Ÿค—https://huggingface.co/ISTA-DASLab/Meta-Llama-3.1-70B-Instruct-AQLM-PV-2Bit-1x16 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B-Instruct   meta-llama/Meta-Llama-3.1-70B-Instruct
Model Size70b
Required VRAM22 GB
Updated2024-12-26
MaintainerISTA-DASLab
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   2.1 GB: 5-of-5
Quantization Type2bit
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Meta Llama 3.1 70B Instruct AQLM PV 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217