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Ct2fast GPT JT 6B V0 by michaelfeil

 »  All LLMs  »  michaelfeil  »  Ct2fast GPT JT 6B V0   URL Share it on

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  Ctranslate2   Dataset:cot   Dataset:muennighoff/p3   Dataset:natural instructions   Dataset:the pile   En   Endpoints compatible   Float16 - gpt   Int8   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-GPT-JT-6B-v0 

Ct2fast GPT JT 6B V0 Benchmarks

LLME Score: 0.10597
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast GPT JT 6B V0 (michaelfeil/ct2fast-GPT-JT-6B-v0)

Ct2fast GPT JT 6B V0 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is just a quantized version.
Input Output 
Performance Tips:
Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.
LLM NameCt2fast GPT JT 6B V0
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-GPT-JT-6B-v0 
Model Size6b
Required VRAM12.1 GB
Updated2024-12-22
Maintainermichaelfeil
Model Files  12.1 GB
Supported Languagesen
Model ArchitectureAutoModel
Model Max Length2048
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Errorsreplace

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GPT J GGML0K / 3.4 GB222
Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-GPT-JT-6B-v0.

Rank the Ct2fast GPT JT 6B V0 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 v20241217
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