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Dolly V2 7B by databricks

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  Autotrain compatible Dataset:databricks/databricks-...   En   Gpt neox   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/databricks/dolly-v2-7b 

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: 1.44
LLME Score: 0.19444
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 (databricks/dolly-v2-7b)

Dolly V2 7B Parameters and Internals

Model Type 
causal language model
Use Cases 
Areas:
commercial applications, research
Limitations:
Syntactically complex prompts, Programming problems, Mathematical operations, Factual errors, Dates and times, Open-ended question answering, Hallucination, Enumerating lists of specific length, Stylistic mimicry, Sense of humor, Well-formatted letter writing
Supported Languages 
en (high)
Training Details 
Data Sources:
databricks/databricks-dolly-15k, EleutherAI/pythia-6.9b
Methodology:
Fine-tuned on a 15K record instruction corpus
Model Architecture:
Derived from Pythia-6.9B
Input Output 
Accepted Modalities:
text
Performance Tips:
Using torch_dtype=torch.bfloat16 is generally recommended to reduce memory usage.
LLM NameDolly V2 7B
Repository 🤗https://huggingface.co/databricks/dolly-v2-7b 
Model Size7b
Required VRAM13.8 GB
Updated2025-02-22
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

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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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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 v20241227
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