Llama-X
FastChat
Llama-X | FastChat | |
---|---|---|
1 | 84 | |
1,575 | 35,257 | |
- | 3.9% | |
6.5 | 9.5 | |
10 months ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Llama-X
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WizardLM-30B-Uncensored
Here is the codebase and dataset for WizardLM https://github.com/nlpxucan/WizardLM https://github.com/AetherCortex/Llama-X https://huggingface.co/datasets/victor123/evol_instruct_70k
FastChat
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MT-Bench: Comparing different LLM Judges
MT-Bench is a quick (and dirty?) way to evaluate a chatbot model (fine-tuned instruction following LLM). When a new open-source model is published at Hugging-face it is not uncommon to see the score presented as a testament of quality. It offers ~$5 worth of OpenAI API calls towards getting a good ballpark of how your model does. A good tool to iterate on fine-tuning an assistant model.
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GPT4.5 or GPT5 being tested on LMSYS?
gpt2-chatbot isn't the only "mystery model" on LMSYS. Another is "deluxe-chat".
When asked about it in October last year, LMSYS replied [0] "It is an experiment we are running currently. More details will be revealed later"
One distinguishing feature of "deluxe-chat": although it gives high quality answers, it is very slow, so slow that the arena displays a warning whenever it is invoked
[0] https://github.com/lm-sys/FastChat/issues/2527
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LLMs on your local Computer (Part 1)
FastChat
- FLaNK AI for 11 March 2024
- FLaNK 04 March 2024
- ChatGPT for Teams
- FastChat: An open platform for training and serving large language models
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LM Studio – Discover, download, and run local LLMs
How does it compare with something like FastChat? https://github.com/lm-sys/FastChat
Feature set seems like a decent amount of overlap. One limitation of FastChat, as far as I can tell, is that one is limited to the models that FastChat supports (though I think it would be minor to modify it to support arbitrary models?)
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Video-LLaVA
Looks like the Vicuna repo is Apache 2.0 also[1].
What's the interpretation of copyright law that would prevent the code being Apache 2.0 based on the source of the fine-tuning dataset?
[1] https://github.com/lm-sys/FastChat
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
Check how to start with FastChat. Support FastChat on GitHub ⭐