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, 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.