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Meta Llama 3 70B Instruct GPTQ by MaziyarPanahi

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Meta Llama 3 70B Instruct GPTQ Benchmarks

LLME Score: 0.22158
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 70B Instruct GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Quantized version (GPTQ) of Meta-Llama-3-70B-Instruct, finetuned and optimized for 4-bit performance.
Supported Languages 
en (proficient)
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameMeta Llama 3 70B Instruct GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ 
Model NameMeta-Llama-3-70B-Instruct-GPTQ
Model Creatormeta-llama
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2024-11-21
MaintainerMaziyarPanahi
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3 70B Instruct GPTQ (MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ)

Best Alternatives to Meta Llama 3 70B Instruct GPTQ

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Context / RAM
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...ama 3.1 70B Instruct Gptq 4bit128K / 39.9 GB2334
Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB212616
...ama 3 Taiwan 70B Instruct GPTQ8K / 39.8 GB162
...ta Llama 3 70B Instruct Marlin8K / 39.5 GB4246
...erkrautLM 70B Instruct GPTQ 8B8K / 74.4 GB381
...SauerkrautLM 70B Instruct GPTQ8K / 39.8 GB1223
...g Llama 3 70B Instruct GPTQ 4B8K / 39.8 GB70
...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB11
...a Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB110
...Llama 3 70B Instruct GPTQ Int88K / 74.5 GB792
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ.

Rank the Meta Llama 3 70B Instruct GPTQ 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 v20241110
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