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Ct2fast Dolly V2 12B by michaelfeil

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  Ctranslate2   Dolly-v2   Endpoints compatible   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-dolly-v2-12b 

Ct2fast Dolly V2 12B Benchmarks

LLME Score: 0.08937
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Ct2fast Dolly V2 12B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Considerations:
Below is an instruction that describes a task. Write a response that appropriately completes the request.
Additional Notes 
This is a quantized version of the original model for fast inference.
Input Output 
Input Format:
Prompt format
Accepted Modalities:
text
Output Format:
Text response
Performance Tips:
Using int8 inference accelerates performance 2x-8x.
LLM NameCt2fast Dolly V2 12B
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-dolly-v2-12b 
Model Size12b
Required VRAM11.9 GB
Updated2025-06-09
Maintainermichaelfeil
Model Files  11.9 GB
Model ArchitectureAutoModel
Licensemit
Tokenizer ClassGPTNeoXTokenizer
Ct2fast Dolly V2 12B (michaelfeil/ct2fast-dolly-v2-12b)

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Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-dolly-v2-12b.

Rank the Ct2fast 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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