--- license: apache-2.0 language: - en datasets: - togethercomputer/RedPajama-Data-1T - Muennighoff/P3 - Muennighoff/natural-instructions pipeline_tag: text-generation tags: - gpt_neox - red_pajama --- **Original Model Link: https://huggingface.co/togethercomputer/RedPajama-INCITE-Instruct-3B-v1** This will NOT work with llama.cpp as of 5/13/2023, but this NOW works (5/13/2023) with the GGML in https://github.com/ggerganov/ggml/ via gpt-neox This also works in my project https://github.com/keldenl/gpt-llama.cpp (uses ggml as an InferenceEngine). # RedPajama-INCITE-Instruct-3B-v1 RedPajama-INCITE-Instruct-3B-v1 was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanford Center for Research on Foundation Models (CRFM), Stanford Hazy Research research group and LAION. The model was fine-tuned for few-shot applications on the data of [GPT-JT](https://huggingface.co/togethercomputer/GPT-JT-6B-v1), with exclusion of tasks that overlap with the HELM core scenarios. ## Model Details - **Developed by**: Together Computer. - **Model type**: Language Model - **Language(s)**: English - **License**: Apache 2.0 - **Model Description**: A 2.8B parameter pretrained language model. ## Prompt Template To prompt the chat model, use a typical instruction format + few shot prompting, for example: ``` Paraphrase the given sentence into a different sentence. Input: Can you recommend some upscale restaurants in New York? Output: What upscale restaurants do you recommend in New York? Input: What are the famous places we should not miss in Paris? Output: Recommend some of the best places to visit in Paris? Input: Could you recommend some hotels that have cheap price in Zurich? Output: ``` ## Which model to download? * The q4_0 file provides lower quality, but maximal compatibility. It will work with past and future versions of llama.cpp * The q4_2 file offers the best combination of performance and quality. This format is still subject to change and there may be compatibility issues, see below. * The q5_0 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_0. * The q5_1 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_1.