pvmigrate
FastChat
| pvmigrate | FastChat | |
|---|---|---|
| 2 | 83 | |
| 54 | 35,140 | |
| - | 3.2% | |
| 7.8 | 9.5 | |
| 11 days ago | about 13 hours ago | |
| Go | 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.
pvmigrate
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GPT4.5 or GPT5 being tested on LMSYS?
All of the facts based queries I have asked so far have not been 100% correct on any LLM including this one.
Here are some examples of the worst performing:
"What platform front rack fits a Stromer ST2?": The answer is the Racktime ViewIt. Nothing, not even Google, seems to get this one. Discord gives the right answer.
"Is there a pre-existing controller or utility to migrate persistent volume claims from one storage class to another in the open source Kubernetes ecosystem?" It said no (wrong) and then provided another approach that partially used Velero that wasn't correct, if you know what Velero does in those particular commands. Discord communities give the right answer, such as `pvmigrate` (https://github.com/replicatedhq/pvmigrate).
Here is something more representative:
"What alternatives to Gusto would you recommend? Create a table showing the payroll provider in a column, the base monthly subscription price, the monthly price per employee, and the total cost for 3 full time employees, considering that the employees live in two different states" This and Claude do a good job, but do not correctly retrieve all the prices. Claude omitted Square Payroll, which is really the "right answer" to this query. Google would never be able to answer this "correctly."
- convert storageclasses of existing PVs
FastChat
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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 ⭐
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Show HN: ChatAPI – PWA to Use ChatGPT by API Build with Alpine.js
For something a little heavier but much more robust in terms of features/functionality I've been enjoying FastChat: https://github.com/lm-sys/FastChat
It allows you to plug in different backends so that you can use OpenAI compatible clients with various LLM's, selfhosted or otherwise.
What are some alternatives?
velero - Backup and migrate Kubernetes applications and their persistent volumes
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llama.cpp - LLM inference in C/C++
gpt4all - gpt4all: run open-source LLMs anywhere
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
llama-cpp-python - Python bindings for llama.cpp
mlc-llm - Universal LLM Deployment Engine with ML Compilation
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
OpenLLM - Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
llama - Inference code for Llama models
MiniGPT-4 - Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)