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Dolly V2 12B by databricks

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Dolly V2 12B is an open-source language model by databricks. Features: 12b LLM, VRAM: 23.8GB, Context: 2K, License: mit, HF Score: 39.5, LLM Explorer Score: 0.31, ELO: 979, Arc: 42.4, HellaSwag: 72.5, MMLU: 25.9, TruthfulQA: 33.8, WinoGrande: 60.9, GSM8K: 1.2.

  Autotrain compatible Dataset:databricks/databricks-...   En   Gpt neox   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/databricks/dolly-v2-12b 

Dolly V2 12B Benchmarks

LMSys ELO: 979 vs 1272 (so35)-23%
MMLU Pro: 1.43
MUSR: 5.5
BBH: 6.38
IFEval: 23.55 vs 88 (so35)-73.2%
ARC: 42.41 vs 96.7 (so35)-56.1%
HellaSwag: 72.53 vs 95.3 (gpt4)-23.9%
MMLU: 25.92 vs 88.3 (so35)-70.6%
TruthfulQA: 33.83 vs 59 (gpt4)-42.7%
WinoGrande: 60.85 vs 87.5 (gpt4)-30.5%
GSM8K: 1.21 vs 96.4 (so35)-98.7%
MATH Lvl 5: 1.36
LLME Score: 0.30973
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolly V2 12B (databricks/dolly-v2-12b)
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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 🤗https://huggingface.co/databricks/dolly-v2-12b 
Model Size12b
Required VRAM23.8 GB
Updated2025-09-23
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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Rank the Dolly V2 12B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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