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Ct2fast GPT J 6B by michaelfeil

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

  9   
  Arxiv:2101.00027   Arxiv:2104.09864   Ctranslate2   Dataset:the pile   En   Endpoints compatible   Float16   Int8   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-gpt-j-6b 

Ct2fast GPT J 6B Benchmarks

LLME Score: 0.10398
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast GPT J 6B (michaelfeil/ct2fast-gpt-j-6b)

Ct2fast GPT J 6B Parameters and Internals

Model Type 
text generation, causal-lm
Use Cases 
Areas:
research, text generation applications
Applications:
text generation
Primary Use Cases:
Generating text from prompts
Limitations:
Not suitable for human-facing interactions without fine-tuning, May generate harmful or offensive text, Not suitable for language translation
Considerations:
Supervision and moderation recommended for outputs
Additional Notes 
This is a quantized version optimized for fast inference.
Supported Languages 
en (English - high proficiency)
Training Details 
Data Sources:
the Pile
Data Volume:
402 billion tokens
Methodology:
Autoregressive language modeling
Context Length:
2048
Hardware Used:
TPU v3-256 pod
Model Architecture:
Transformer with 28 layers, 16 heads, 4096 dimensional model
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Intended for int8_float16 quantization on CUDA
Release Notes 
Version:
N/A
Date:
2023-05-19
Notes:
Converted to int8_float16 for fast inference on CUDA
LLM NameCt2fast GPT J 6B
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-gpt-j-6b 
Model Size6b
Required VRAM12.1 GB
Updated2024-12-22
Maintainermichaelfeil
Model Files  12.1 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length2048
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-gpt-j-6b.

Rank the Ct2fast GPT J 6B 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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Release v20241217
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