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Meta Llama 3 70B Instruct GPTQ Int4 by study-hjt

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Meta Llama 3 70B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.20926
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 Int4 Parameters and Internals

LLM NameMeta Llama 3 70B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/study-hjt/Meta-Llama-3-70B-Instruct-GPTQ-Int4 
Base Model(s)  ...a Llama 3 70B Instruct Ov Int4   fakezeta/Meta-Llama-3-70B-Instruct-ov-int4
Model Size70b
Required VRAM39.8 GB
Updated2024-10-18
Maintainerstudy-hjt
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   9.9 GB: 4-of-4
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3 70B Instruct GPTQ Int4 (study-hjt/Meta-Llama-3-70B-Instruct-GPTQ-Int4)

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...ama 3.1 70B Instruct Gptq 4bit128K / 39.9 GB1434
Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB165316
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...a Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB260
...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB31
...g Llama 3 70B Instruct GPTQ 4B8K / 39.8 GB70
Note: green Score (e.g. "73.2") means that the model is better than study-hjt/Meta-Llama-3-70B-Instruct-GPTQ-Int4.

Rank the Meta Llama 3 70B Instruct GPTQ Int4 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 v2024072803
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