Aquila 2 7B Chat AWQ by casperhansen

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Aquila 2 7B Chat AWQ is an open-source language model by casperhansen. Features: 7b LLM, VRAM: 5GB, Context: 2K, Quantized, LLM Explorer Score: 0.1.

  4-bit   Aquila   Awq   Custom code   Pytorch   Quantized   Region:us

Aquila 2 7B Chat AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aquila 2 7B Chat AWQ (casperhansen/aquila-2-7b-chat-awq)
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Aquila 2 7B Chat AWQ Parameters and Internals

LLM NameAquila 2 7B Chat AWQ
Repository ๐Ÿค—https://huggingface.co/casperhansen/aquila-2-7b-chat-awq 
Model Size7b
Required VRAM5 GB
Updated2026-04-06
Maintainercasperhansen
Model Typeaquila
Model Files  5.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureAquilaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size100008
Torch Data Typefloat16

Best Alternatives to Aquila 2 7B Chat AWQ

Best Alternatives
Context / RAM
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AquilaChat2 7B 16K16K / 29.2 GB359
Aquila2 7B8K / 30.8 GB826
AquilaChat2 7B2K / 29.2 GB1037516
Aquilachat 7B2K / 14.5 GB1617
Aquila 7B2K / 14.5 GB911
Tiny Random Aquila20.1K / 0 GB18980
Tiny Random Aquilachat0.1K / 0 GB6810
Note: green Score (e.g. "73.2") means that the model is better than casperhansen/aquila-2-7b-chat-awq.

Rank the Aquila 2 7B Chat AWQ 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.
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Release v20260328a