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Dolly V2 GGML by rustformers

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Dataset:databricks/databricks-...   En   Endpoints compatible   Ggml   Gpt neox   Llm-rs   Q4   Q4 0   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/rustformers/dolly-v2-ggml 

Dolly V2 GGML Benchmarks

LLME Score: 0.08547
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolly V2 GGML (rustformers/dolly-v2-ggml)
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Dolly V2 GGML Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Instruction following tasks, Text generation
Primary Use Cases:
brainstorming, classification, closed QA, generation, information extraction, open QA, summarization
Additional Notes 
The model is a GGML converted version of original Databricks Dolly-V2 models, suitable for various quantization levels and optimized for different hardware settings.
Supported Languages 
en (Full)
Training Details 
Data Sources:
databricks-dolly-15k
Methodology:
Instruction/response fine-tuning from InstructGPT capabilities
Input Output 
Accepted Modalities:
text
LLM NameDolly V2 GGML
Repository 🤗https://huggingface.co/rustformers/dolly-v2-ggml 
Model Size12b
Required VRAM1.6 GB
Updated2025-10-15
Maintainerrustformers
Model Typegpt_neox
Model Files  23.7 GB   6.7 GB   6.7 GB   5.5 GB   1.6 GB   1.6 GB   2.1 GB   2.1 GB   13.7 GB   3.9 GB   3.9 GB   5.2 GB   5.2 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml|q4|q4_0|q5_1
Model ArchitectureAutoModel
Licensemit

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

Rank the Dolly V2 GGML 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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Release v20241124
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