Dolly V2 3B by databricks

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  Autotrain compatible Dataset:databricks/databricks-...   En   Gpt neox   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/databricks/dolly-v2-3b 

Dolly V2 3B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolly V2 3B (databricks/dolly-v2-3b)
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Dolly V2 3B Parameters and Internals

Model Type 
causal language model
Additional Notes 
Dolly v2 also comes in larger model sizes: dolly-v2-12b and dolly-v2-7b. It can be used with LangChain by setting `return_full_text=True`.
Supported Languages 
en (English)
Training Details 
Data Sources:
databricks-dolly-15k
Data Volume:
~15k instruction/response fine-tuning records
Methodology:
Instruction-following fine-tuning
Model Architecture:
Derived from Pythia-2.8b
LLM NameDolly V2 3B
Repository ๐Ÿค—https://huggingface.co/databricks/dolly-v2-3b 
Model Size3b
Required VRAM5.7 GB
Updated2025-09-13
Maintainerdatabricks
Model Typegpt_neox
Model Files  5.7 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-v2-3b.

Rank the Dolly V2 3B 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 v20241124