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ConfigurableBeagle 11B by vicgalle

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  Arxiv:2404.00495   Autotrain compatible   Conversational Dataset:vicgalle/configurable-...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

ConfigurableBeagle 11B Benchmarks

ARC: 72.53-24.7%
HellaSwag: 88.85-6.8%
MMLU: 66.71-22.9%
TruthfulQA: 77.1330.7%
WinoGrande: 83.27-4.8%
GSM8K: 63.91-30.5%
nn.n% — How the model compares to the GPT-4.

ConfigurableBeagle 11B Parameters and Internals

LLM NameConfigurableBeagle 11B
RepositoryOpen on 🤗 
Model Size11b
Required VRAM21.4 GB
Updated2024-07-26
Maintainervicgalle
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
ConfigurableBeagle 11B (vicgalle/ConfigurableBeagle-11B)

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Alphacode MALI 11B Slowtest0.332K / 21.8 GB17900
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Mistral Evolved 11B V0.10.332K / 22.3 GB31133
Mistral 11B Miniplatypus0.232K / 21.5 GB110
Mistral 11B Instruct V0.10.232K / 42.9 GB3240
Elysium Omni Itt 11B0.232K / 22.3 GB80
Elysium2 11B0.232K / 22.3 GB70
Note: green Score (e.g. "73.2") means that the model is better than vicgalle/ConfigurableBeagle-11B.

Rank the ConfigurableBeagle 11B 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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Release v2024072501
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