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BeagSake 7B by shadowml

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BeagSake 7B is an open-source language model by shadowml. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Merged, HF Score: 75.4, LLM Explorer Score: 0.21, Arc: 72.4, HellaSwag: 88.4, MMLU: 65.2, TruthfulQA: 72.3, WinoGrande: 82.2, GSM8K: 71.8.

  Merged Model Base model:shadowml/beaglesemp... Base model:shadowml/westbeagle...   Conversational   Deploy:azure   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/shadowml/BeagSake-7B 

BeagSake 7B Benchmarks

MMLU Pro: 17.61
GPQA: 4.14
MUSR: 9.84
BBH: 25.19
IFEval: 52.16 vs 88 (so35)-40.7%
ARC: 72.44 vs 96.7 (so35)-25.1%
HellaSwag: 88.39 vs 95.3 (gpt4)-7.3%
MMLU: 65.23 vs 88.3 (so35)-26.1%
TruthfulQA: 72.27 vs 59 (gpt4)22.5%
WinoGrande: 82.16 vs 87.5 (gpt4)-6.1%
GSM8K: 71.8 vs 96.4 (so35)-25.5%
MATH Lvl 5: 5.06
LLME Score: 0.2111
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BeagSake 7B (shadowml/BeagSake-7B)
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BeagSake 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
BeagSake-7B is a merged model combining shadowml/BeagleSempra-7B and shadowml/WestBeagle-7B using LazyMergekit with various layer configurations and parameters.
LLM NameBeagSake 7B
Repository 🤗https://huggingface.co/shadowml/BeagSake-7B 
Base Model(s)  BeagleSempra 7B   WestBeagle 7B   shadowml/BeagleSempra-7B   shadowml/WestBeagle-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-02-05
Maintainershadowml
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than shadowml/BeagSake-7B.

Rank the BeagSake 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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