Llama 30B Int4 by Agtian

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/Agtian/llama-30b-int4 

Llama 30B Int4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 30B Int4 (Agtian/llama-30b-int4)
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Llama 30B Int4 Parameters and Internals

Model Type 
auto-regressive language model
Use Cases 
Primary Use Cases:
research on large language models, exploring potential applications such as question answering, natural language understanding or reading comprehension
Limitations:
should not be used on downstream applications without further risk evaluation and mitigation.
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Model Architecture:
transformer
Responsible Ai Considerations 
Fairness:
The model may exhibit biases from the training data.
Mitigation Strategies:
Filtered data from the Web based on its proximity to Wikipedia text and references.
LLM NameLlama 30B Int4
Repository ๐Ÿค—https://huggingface.co/Agtian/llama-30b-int4 
Model Size30b
Required VRAM17 GB
Updated2025-09-20
MaintainerAgtian
Model Typellama
Model Files  17.0 GB
Model ArchitectureLLaMAForCausalLM
Licenseother
Transformers Version4.27.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Agtian/llama-30b-int4.

Rank the Llama 30B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124