base on Mamba-Chat: A chat LLM based on the state-space model architecture 🐍 # Mamba-Chat 🐍 **Mamba-Chat is the first chat language model based on a state-space model architecture, not a transformer.** The model is based on Albert Gu's and Tri Dao's work *Mamba: Linear-Time Sequence Modeling with Selective State Spaces* ([paper](https://arxiv.org/pdf/2312.00752.pdf)) as well as their [model implementation](https://github.com/state-spaces/mamba). This repository provides training / fine-tuning code for the model based on some modifications of the Huggingface Trainer class. Mamba-Chat is based on Mamba-2.8B and was fine-tuned on 16,000 samples of the [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset. To learn more, you can: - Take a look at the model on [Huggingface](https://huggingface.co/havenhq/mamba-chat) 🤗 - Talk to us on the [Haven](https://haven.run/) Community [Discord](https://discord.com/invite/JDjbfp6q2G) 🧑‍🤝‍🧑 - Talk to Mamba-Chat on [Google Colab](https://colab.research.google.com/drive/1dUlEYnRbgJYg4_kofNpsCddLCh6vltNK?usp=sharing) <br> ## Run Mamba-Chat We provide code for testing and fine-tuning our model. Here's how to get started and what you can do with it: <br> **Clone repository and install dependencies:** ``` git clone https://github.com/havenhq/mamba-chat.git cd mamba-chat pip install -r requirements.txt ``` <br> **Talk to Mamba-Chat (CLI chatbot):** ``` python chat.py ``` <br> **Talk to Mamba-Chat (gradio app):** ``` pip install gradio==4.8.0 python app.py --share ``` <br> **Fine-Tune Mamba (the base model) on a subset of the Ultrachat dataset:** ``` python train_mamba.py --model state-spaces/mamba-2.8b --tokenizer EleutherAI/gpt-neox-20b --learning_rate 5e-5 --batch_size 4 --data_path ./data/ultrachat_small.jsonl --num_epochs 3 ``` <br> **If you have a 24GB card (3090, 4090, etc.) you can use these settings:** ``` python train_mamba.py --model state-spaces/mamba-2.8b --tokenizer EleutherAI/gpt-neox-20b --learning_rate 5e-5 --batch_size 1 --gradient_accumulation_steps 4 --optim paged_adamw_8bit --data_path ./data/ultrachat_small.jsonl --num_epochs 3 ``` ## Citation ``` bibtex @misc{haven2023mambachat, title = {Mamba-Chat}, author = {Justus Mattern and Konstantin Hohr}, year = {2023}, howpublished = {GitHub}, url = {https://github.com/havenhq/mamba-chat} } ``` ", Assign "at most 3 tags" to the expected json: {"id":"5781","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"