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README.md

@@ -0,0 +1,65 @@
+---
+base_model: EleutherAI/gpt-j-6b
+language:
+  - en
+license: apache-2.0
+pipeline_tag: text-generation
+library_name: furiosa-llm
+tags:
+  - furiosa-ai
+---
+# 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](https://huggingface.co/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](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
+- **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](https://github.com/mlcommons/inference/blob/7bf59976b5f4eb7c5b8f30a88af832e028028446/language/gpt-j/README.md#datasets--models)
+- **Quantization:**
+  - Tool: Furiosa Model Compressor v0.6.2, included in Furiosa SDK 2025.2
+  - Weight: float8, Activation: float8, KV cache: float8
+  - Calibration: [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) ([instruction](https://github.com/mlcommons/inference/blob/7bf59976b5f4eb7c5b8f30a88af832e028028446/language/gpt-j/README.md#download--process-dataset))
+
+
+## Description:
+This is pre-compiled model of a fine-tuned and quantized version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b). [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) is used for calibration and fine-tuned for text summarization. Detailes about how this model was fine-tuned and calibrated can be found in [mlcommons/inferences/gpt-j/README.md](https://github.com/mlcommons/inference/blob/7bf59976b5f4eb7c5b8f30a88af832e028028446/language/gpt-j/README.md).
+
+As mentioned above, this model is fine-tuned for text summarization task.
+Please use the following prompt when using this model and replace the {INPUT} part accordingly:
+```
+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
+Follow the example command below after [installing Furiosa-LLM and its prerequisites](https://developer.furiosa.ai/latest/en/getting_started/furiosa_llm.html#installing-furiosa-llm).
+
+```sh
+furiosa-llm serve furiosa-ai/gpt-j-6b-FP8-MLPerf
+```
+
+### MLPerf Benchmark using RNGD
+Follow the example command below after [installing furiosa-mlperf and its prerequisites](https://developer.furiosa.ai/latest/en/getting_started/furiosa_mlperf.html).
+
+```sh
+furiosa-mlperf gpt-j-offline furiosa-ai/gpt-j-6b-FP8-MLPerf ./mlperf-result
+```

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