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Dolly V2 7B by databricks

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  Autotrain compatible Dataset:databricks/databricks-...   En   Gpt neox   Pytorch   Region:us

Dolly V2 7B Benchmarks

MMLU Pro: 1.66
GPQA: 2.46
MUSR: 2.78
BBH: 5.45
IFEval: 20.1 vs 88 (so35)-77.2%
ARC: 44.54 vs 96.7 (so35)-53.9%
HellaSwag: 69.64 vs 95.3 (gpt4)-26.9%
MMLU: 25.18 vs 88.3 (so35)-71.5%
TruthfulQA: 34.88 vs 59 (gpt4)-40.9%
WinoGrande: 60.06 vs 87.5 (gpt4)-31.4%
GSM8K: 1.14 vs 96.4 (so35)-98.8%
MATH Lvl 5: 0.98
LLME Score: 0.20847
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolly V2 7B Parameters and Internals

LLM NameDolly V2 7B
Repository 🤗https://huggingface.co/databricks/dolly-v2-7b 
Model Size7b
Required VRAM13.8 GB
Updated2024-09-16
Maintainerdatabricks
Model Typegpt_neox
Model Files  13.8 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50280
Torch Data Typebfloat16
Dolly V2 7B (databricks/dolly-v2-7b)

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Note: green Score (e.g. "73.2") means that the model is better than databricks/dolly-v2-7b.

Rank the Dolly V2 7B Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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