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GPT J GGML by rustformers

By rustformers · 10 downloads

GPT J GGML is an open-source language model by rustformers. Features: 6b LLM, VRAM: 3.4GB, Quantized, LLM Explorer Score: 0.07.

  Arxiv:2104.09864   Dataset:the pile   En   Endpoints compatible   Ggml   Llm-rs   Q4   Q4 0   Quantized   Region:us
Model Card on HF πŸ€—: https://huggingface.co/rustformers/gpt-j-ggml 

GPT J GGML Parameters and Internals

Model Type 
text generation
Additional Notes 
The model uses the same BPE tokenizer as GPT-2/GPT-3 with a vocabulary size of 50257 out of 50400 possible embeddings. It uses Rotary Position Embeddings for 64 dimensions per head.
Training Details 
Data Sources:
the_pile
Methodology:
Trained using Mesh Transformer JAX
Context Length:
2048
Model Architecture:
Transformer with 28 layers, RoPE positional encoding
Input Output 
Input Format:
Text
Output Format:
Text
LLM NameGPT J GGML
Repository πŸ€—https://huggingface.co/rustformers/gpt-j-ggml 
Model Size6b
Required VRAM3.4 GB
Updated2026-06-17
Maintainerrustformers
Model Files  12.1 GB   3.4 GB   3.4 GB   4.5 GB   4.5 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml|q4|q4_0|q5_1
Model ArchitectureAutoModel

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