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AQUA 7B by KurmaAI

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  Arxiv:2507.20520   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:kurmaai/aqua-test-data...   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KurmaAI/AQUA-7B 

AQUA 7B Benchmarks

LLME Score: 0.28849
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AQUA 7B (KurmaAI/AQUA-7B)
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AQUA 7B Parameters and Internals

LLM NameAQUA 7B
Repository 🤗https://huggingface.co/KurmaAI/AQUA-7B 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM14.5 GB
Updated2025-08-16
MaintainerKurmaAI
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.52.4
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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... Summarize 64K QLoRANET Merged128K / 4.1 GB50
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Seed X Instruct 7B32K / 15 GB9275120
Mistral 7B Instruct V0.132K / 14.4 GB1942841780
Mistral 7B Instruct V0.232K / 14.4 GB65130
Note: green Score (e.g. "73.2") means that the model is better than KurmaAI/AQUA-7B.

Rank the AQUA 7B 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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