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Loxa 4B by frameai

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Model Card on HF 🤗: https://huggingface.co/frameai/Loxa-4B 

Loxa 4B Benchmarks

MMLU Pro: 20.02
GPQA: 4.47
MUSR: 3.87
BBH: 18.31
IFEval: 47.65 vs 88 (so35)-45.9%
MATH Lvl 5: 10.95
LLME Score: 0.27875
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Loxa 4B Parameters and Internals

LLM NameLoxa 4B
Repository 🤗https://huggingface.co/frameai/Loxa-4B 
Model Size4b
Required VRAM16 GB
Updated2025-06-11
Maintainerframeai
Model Typellama
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat32
Loxa 4B (frameai/Loxa-4B)

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Context / RAM
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...lama 3.1 Nemotron Nano 4B V1.1128K / 9 GB1729088
...lama 3.1 Nemotron Nano 4B V1.1128K / 9 GB10644
Basqui R1 4B V1128K / 6.5 GB3091
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CharGen V3 Mini128K / 9 GB506
Nemotron W 4b Halo 0.1128K / 9.2 GB193
Aura 4B128K / 9 GB4511
...ama 3.1 Minitron 4B Depth Base128K / 9.1 GB334121
Note: green Score (e.g. "73.2") means that the model is better than frameai/Loxa-4B.

Rank the Loxa 4B 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
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