rllama
FastChat
| rllama | FastChat | |
|---|---|---|
| 7 | 83 | |
| 521 | 34,708 | |
| - | 4.8% | |
| 6.2 | 9.6 | |
| 3 months ago | 6 days ago | |
| Rust | Python | |
| GNU Affero General Public License v3.0 | 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.
rllama
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Ask HN: Who wants to be hired? (July 2023)
Location: San Francisco
Remote: No preference, as long as I don't have to move far from Bay Area
Willing to relocate: No
Technologies: C, Rust, Golang, Haskell, Lisp, Python, Lua, OpenGL, SQLite3, JavaScript, PostgreSQL, AWS EC2, S3, ECS, Batch.
Resume: https://www.linkedin.com/in/mikjuola
Email: [email protected]
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I've been working at the Bay Area since 2015, most recently at Pinterest. At work, I've done big data pipelines, designed some batch job systems, computing metrics, handling billing APIs, lots of Python, Go and Java and working with AWS, i.e. backend and data engineer stuff.
But I'm trying to look for work that's more in line with what I do on my free time: Challenging low-level C or Rust programming, machine learning implementations (see e.g. this thing I made https://github.com/Noeda/rllama/, graphics programming or research-type work, uncommon programming languages.
If you scroll through my random crap repositories you can see what kind of things I'm interested in: https://github.com/Noeda?tab=repositories
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State-of-the-art open-source chatbot, Vicuna-13B, just released model weights
No, my project is called rllama. No relation to GGML. https://github.com/Noeda/rllama
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Where can I learn more about SIMD, CPU intrinsics and the like in the context of Rust?
I have seen some Rust attempts as well such as https://github.com/Noeda/rllama/ but they are still way behind the C++ ones. This seems like an interesting space to get into.
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Show HN: Alpaca.cpp – Run an Instruction-Tuned Chat-Style LLM on a MacBook
I ran it on a 128 RAM machine with a Ryzen 5950X. It's not fast, 4 seconds per token. But it's just about fits without swapping. https://github.com/Noeda/rllama/
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Llama.rs – Rust port of llama.cpp for fast LLaMA inference on CPU
I've counted three different Rust LLaMA implementations on r/rust subreddit this week:
https://github.com/Noeda/rllama/ (pure Rust+OpenCL)
https://github.com/setzer22/llama-rs/ (ggml based)
https://github.com/philpax/ggllama (also ggml based)
There's also a discussion on GitHub issue on setzer's repo to collaborate a bit on these separate efforts: https://github.com/setzer22/llama-rs/issues/4
- Rust+OpenCL+AVX2 implementation of LLaMA inference code
- Pure Rust CPU and OpenCL implementation of LLaMA language model
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?
llama.cpp - LLM inference in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
alpaca-lora - Instruct-tune LLaMA on consumer hardware
gpt4all - gpt4all: run open-source LLMs anywhere
ultraviolet - A wide linear algebra crate for games and graphics.
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
litestar - Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs
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.
80r3d
llama-cpp-python - Python bindings for llama.cpp