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Slerp Test Turdus Beagle by eren23

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  Merged Model   Autotrain compatible Base model:mlabonne/neuralbeag...   Base model:udkai/turdus   Endpoints compatible   Mistral   Mlabonne/neuralbeagle14-7b   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Udkai/turdus

Slerp Test Turdus Beagle Benchmarks

ARC: 73.55-23.6%
HellaSwag: 88.85-6.8%
MMLU: 64.62-25.3%
TruthfulQA: 69.6918.1%
WinoGrande: 83.9-4.1%
GSM8K: 70.05-23.9%
nn.n% — How the model compares to the GPT-4.

Slerp Test Turdus Beagle Parameters and Internals

LLM NameSlerp Test Turdus Beagle
RepositoryOpen on 🤗 
Base Model(s)  Turdus   NeuralBeagle14 7B   udkai/Turdus   mlabonne/NeuralBeagle14-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-07-26
Maintainereren23
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Slerp Test Turdus Beagle (eren23/slerp-test-turdus-beagle)

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Note: green Score (e.g. "73.2") means that the model is better than eren23/slerp-test-turdus-beagle.

Rank the Slerp Test Turdus Beagle 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 v2024072501
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