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--- |
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library_name: transformers |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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This is a test release of DPO version of [MemGPT](https://github.com/cpacker/MemGPT) Language Model. |
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# Model Description |
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This repository contains a MoE (Mixture of Experts) model of [Mistral 7B Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2). It has 2 experts per token. This model is specifically designed for function calling in MemGPT. It demonstrates comparable performances to GPT-4 when it comes to working with MemGPT. |
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# Key Features |
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* Function calling |
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* Dedicated to working with MemGPT |
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* Supports medium-length context, up to sequences of 8,192 |
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# Prompt Format |
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This model uses **ChatML** prompt format: |
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``` |
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<|im_start|>system |
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{system_instruction}<|im_end|> |
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<|im_start|>user |
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{user_message}<|im_end|> |
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<|im_start|>assistant |
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{assistant_response}<|im_end|> |
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``` |
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# Usage |
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This model is designed to be ran on multiple backends, such as [oogabooga's textgen WebUI](https://github.com/oobabooga/text-generation-webui). |
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Simply install your preferred backend, and then load up this model. |
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Then, configure MemGPT using `memgpt configure`, and chat with MemGPT via `memgpt run` command! |
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# Model Details |
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* Developed by: @starsnatched |
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* Model type: This repo contains a language model based on the transformer decoder architecture. |
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* Language: English |
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* Contact: For any questions, concerns or comments about this model, please contact me at Discord, @starsnatched. |
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# Training Infrastructure |
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* Hardware: The model in this repo was trained on 2x A100 80GB GPUs. |
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# Intended Use |
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The model is designed to be used as the base model for MemGPT agents. |
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# Limitations and Risks |
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The model may exhibit unreliable, unsafe, or biased behaviours. Please double check the results this model may produce. |
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