Dolly V2 12B 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-v2-12b 

Dolly V2 12B Benchmarks

Dolly V2 12B (databricks/dolly-v2-12b)

Dolly V2 12B Parameters and Internals

Model Type 
causal language model
Use Cases 
Primary Use Cases:
instruction following
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, humor, well-formatted letter writing
Training Details 
Data Sources:
EleutherAI Pythia, databricks-dolly-15k
Methodology:
Instruction fine-tuning
Model Architecture:
Derived from EleutherAI's Pythia-12b
Input Output 
Accepted Modalities:
text
Performance Tips:
Include `torch_dtype=torch.bfloat16` to reduce memory usage if supported. Use `trust_remote_code=True` when loading the pipeline.
LLM NameDolly V2 12B
Repository ๐Ÿค—https://huggingface.co/databricks/dolly-v2-12b 
Model Size12b
Required VRAM23.8 GB
Updated2025-03-25
Maintainerdatabricks
Model Typegpt_neox
Model Files  23.8 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-v2-12b.

Rank the Dolly V2 12B 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 v20241227