chat-ui
text-generation-inference
chat-ui | text-generation-inference | |
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40 | 29 | |
6,369 | 7,995 | |
10.8% | 7.5% | |
9.7 | 9.6 | |
about 16 hours ago | 7 days ago | |
TypeScript | Python | |
Apache License 2.0 | Apache License 2.0 |
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chat-ui
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Zephyr 141B, a Mixtral 8x22B fine-tune, is now available in Hugging Chat
Zephyr 141B is a Mixtral 8x22B fine-tune. Here are some interesting details
- Base model: Mixtral 8x22B, 8 experts, 141B total params, 35B activated params
- Fine-tuned with ORPO, a new alignment algorithm with no SFT step (hence much faster than DPO/PPO)
- Trained with 7K open data instances -> high-quality, synthetic, multi-turn
- Apache 2
Everything is open:
- Final Model: https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v...
- Base Model: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1
- Fine-tune data: https://huggingface.co/datasets/argilla/distilabel-capybara-...
- Recipe/code to train the model: https://huggingface.co/datasets/argilla/distilabel-capybara-...
- Open-source inference engine: https://github.com/huggingface/text-generation-inference
- Open-source UI code https://github.com/huggingface/chat-ui
Have fun!
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AI enthusiasm - episode #2🚀
As long as you have a free Hugging Face account, you can sign up and exploit HuggingChat, a web-based chat interface where you will find 5 large language models to play with (Mixtral-7B-it v0.1 and v0.2, Command R plus, Gemma 1.1-7B-it, Dolphin). You will also have the possibility to exploit several assistants made by the Hugging Face community, or even create your own!
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OpenAI Startup Fund: GP Hallucination
I submitted something about this the other day (and it got flagged)- poked around a little bit and the only interesting thing I could find is this: https://github.com/huggingface/chat-ui/issues/254 and I don't really even understand what it is, it references the stuff the dude who wrote this is discussing. I had kinda written the whole thing off as someone with too much time on their hands and is just f'ing around with stuff for whatever reason.
I think they made this as well: https://chat.openai.com/g/g-KT4gusP3Y-a-l-i-s-t-a-i-r-e-earl... - it doesn't seem very useful.
*¯\_(ツ)_/¯ to me after spending an hr or so poking around, it seemed like a bored modern tech savvy young person playing around.
- ⚔️ Embeddings, Chatbots RAG Arena et forfaits Telecom OPT-NC
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Show HN: I made an app to use local AI as daily driver
- https://github.com/huggingface/chat-ui
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Deconstructing Hugging Face Chat: Explore open-source chat UI/UX for generative AI
Hugging Face Chat - open-source repo powering Hugging Chat!
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What are you guys using local LLMs for?
If you don't want to do coding, I think HuggingFace's chat-ui can come in handy with web retrieval RAG and llama-cpp running as a server. Please check their documentation on how to setup( See "Running your own models using a custom endpoint" section on their Github).
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The founder of OpenAI/ChatGPT is a Zionist calling people that are against Israeli genocide “antisemitist”, how dare the American left speak against genocide!?
yes! it's proprietary, invasive, and harvests your data and use it for improving the AI, Ultman went to Israel weeks after Chatgpt was introduced, Israel like any other tech-giant-country needs to make sure that it has control over that data and/or use it to achieve its goals, so it's better to find offline FOSS alternatives (if you have a decent enough PC) or use HuggingChat as an online FOSS alternative, I find it better than GPT 3.5 in many aspects
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Smartphone Brands Sorted Out, So You Don't Have To
I have categorized some of the smartphone brands by their parent company using HuggingChat based on RLHF, Google's Bard, ChatGPT, and Perplexity. All of them are powered by LLMs, and both ChatGPT and Perplexity use GPT-3.5.
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Accessing ChatGPT in non-official UI
I'm looking for something like https://huggingface.co/chat/ or OpenAssistant, but it should target OpenAI's api.
text-generation-inference
- FLaNK AI-April 22, 2024
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Zephyr 141B, a Mixtral 8x22B fine-tune, is now available in Hugging Chat
I wanted to write that TGI inference engine is not Open Source anymore, but they have reverted the license back to Apache 2.0 for the new version TGI v2.0: https://github.com/huggingface/text-generation-inference/rel...
Good news!
- Hugging Face reverts the license back to Apache 2.0
- HuggingFace text-generation-inference is reverting to Apache 2.0 License
- FLaNK Stack 05 Feb 2024
- Is there any open source app to load a model and expose API like OpenAI?
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AI Code assistant for about 50-70 users
Setting up a server for multiple users is very different from setting up LLM for yourself. A safe bet would be to just use TGI, which supports continuous batching and is very easy to run via Docker on your server. https://github.com/huggingface/text-generation-inference
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LocalPilot: Open-source GitHub Copilot on your MacBook
Okay, I actually got local co-pilot set up. You will need these 4 things.
1) CodeLlama 13B or another FIM model https://huggingface.co/codellama/CodeLlama-13b-hf. You want "Fill in Middle" models because you're looking at context on both sides of your cursor.
2) HuggingFace llm-ls https://github.com/huggingface/llm-ls A large language mode Language Server (is this making sense yet)
3) HuggingFace inference framework. https://github.com/huggingface/text-generation-inference At least when I tested you couldn't use something like llama.cpp or exllama with the llm-ls, so you need to break out the heavy duty badboy HuggingFace inference server. Just config and run. Now config and run llm-ls.
4) Okay, I mean you need an editor. I just tried nvim, and this was a few weeks ago, so there may be better support. My expereicen was that is was full honest to god copilot. The CodeLlama models are known to be quite good for its size. The FIM part is great. Boilerplace works so much easier with the surrounding context. I'd like to see more models released that can work this way.
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Mistral 7B Paper on ArXiv
A simple microservice would be https://github.com/huggingface/text-generation-inference .
Works flawlessly in Docker on my Windows machine, which is extremely shocking.
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best way to serve llama V2 (llama.cpp VS triton VS HF text generation inference)
I am wondering what is the best / most cost-efficient way to serve llama V2. - llama.cpp (is it production ready or just for playing around?) ? - Triton inference server ? - HF text generation inference ?
What are some alternatives?
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
llama-cpp-python - Python bindings for llama.cpp
DiscordChatExporter-frontend - Browse json files exported by Tyrrrz/DiscordChatExporter in familiar discord like user interface
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
WizardLM - Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder and WizardMath
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.
AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
vllm - A high-throughput and memory-efficient inference and serving engine for LLMs