Model Overview

• Model Architecture: GPT-J
  • Input: Text
  • Output: Text
• Model Optimizations:
  • Beam search optimization (beam=4) for MLPerf (This model cannot run for greedy search, top-k, top-p)
• Maximum Context Length: 2k tokens
  • Maximum Prompt Length: 1920 tokens
  • Maximum Generation Length: 2048 tokens
• Intended Use Cases: Intended for commercial and non-commercial use. Same as EleutherAI/gpt-j-6b, this models is intended for text summarization.
• Release Date: 04/12/2025
• Version: v2025.2
• License(s): Apache License 2.0
• Supported Inference Engine(s): Furiosa LLM
• Supported Hardware Compatibility: FuriosaAI RNGD
• Preferred Operating System(s): Linux
• Fine-tunes: This model is fine-tuned for text summarization. More details can be found at Datasets & Models at mlcommons/inferences/gpt-j/README.md
• Quantization:
  • Tool: Furiosa Model Compressor v0.6.2, included in Furiosa SDK 2025.2
  • Weight: float8, Activation: float8, KV cache: float8
  • Calibration: cnn_dailymail (instruction)

Description:

Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
Summarize the following news article:

### Input:
{INPUTS}

### Response:

Usage

Furiosa-LLM

MLPerf Benchmark using RNGD