lit-gpt
FastChat
| lit-gpt | FastChat | |
|---|---|---|
| 4 | 83 | |
| 5,243 | 34,708 | |
| - | 4.3% | |
| 9.6 | 9.6 | |
| 2 months ago | about 15 hours ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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lit-gpt
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LLMs on your local Computer (Part 1)
git clone --depth=1 https://github.com/Lightning-AI/lit-gpt cd lit-gpt pip install -r requirements.txt pip install bitsandbytes==0.41.0 huggingface_hub python scripts/download.py --repo_id stabilityai/stablelm-zephyr-3b --from_safetensors=True python scripts/convert_hf_checkpoint.py --checkpoint_dir checkpoints/stabilityai/stablelm-zephyr-3b --dtype float32
- LoRA from Scratch implementation for LLM finetuning
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My experience on starting with fine tuning LLMs with custom data
I'm also working on the finetuning of models for Q&A and I've finetuned llama-7b, falcon-40b, and oasst-pythia-12b using HuggingFace's SFT, H2OGPT's finetuning script and lit-gpt.
- finetune Falcon 40B in 30 minutes using LLaMA adapter
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?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
axolotl - Go ahead and axolotl questions
llama.cpp - LLM inference in C/C++
Nuggt - An Autonomous LLM Agent that runs on Wizcoder-15B
gpt4all - gpt4all: run open-source LLMs anywhere
instructor-embedding - [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
semantra - Multi-tool for semantic search
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 - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.