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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

MMLU Pro: 26.38
GPQA: 6.94
MUSR: 7.38
BBH: 32.39
IFEval: 58.34 vs 88 (so35)-33.7%
ARC: 72.53 vs 96.7 (so35)-25%
HellaSwag: 88.85 vs 95.3 (gpt4)-6.8%
MMLU: 66.71 vs 88.3 (so35)-24.5%
TruthfulQA: 77.13 vs 59 (gpt4)30.7%
WinoGrande: 83.27 vs 87.5 (gpt4)-4.8%
GSM8K: 63.91 vs 96.4 (so35)-33.7%
MATH Lvl 5: 3.7
LLME Score: 0.32127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ConfigurableBeagle 11B Parameters and Internals

LLM NameConfigurableBeagle 11B
Repository 🤗https://huggingface.co/vicgalle/ConfigurableBeagle-11B 
Model Size11b
Required VRAM21.4 GB
Updated2024-09-07
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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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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Release v2024072803
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