cformers
llm
| cformers | llm | |
|---|---|---|
| 4 | 41 | |
| 315 | 5,954 | |
| 0.6% | 3.1% | |
| 6.7 | 9.4 | |
| 5 months ago | about 2 months ago | |
| C | Rust | |
| MIT License | 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.
cformers
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[P] rwkv.cpp: FP16 & INT4 inference on CPU for RWKV language model
it's a combination of things, and removing python from the loop isn't essential to achieving most of these performance gains. the main trick is quantizing the weights and compiling the model. concrete example that builds on top of ggml with python APIs: https://github.com/NolanoOrg/cformers
- Cformers 🚀 - "Transformers with a C-backend for lightning-fast CPU inference". | Nolano
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FauxPilot – an open-source GitHub Copilot server
We will add quantized CodeGen for fast inference on CPUs up on cformers (https://github.com/NolanoOrg/cformers/) by later today.
llm
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Open-sourcing a simple automation/agent workflow builder
We're open-sourcing a project that lets you build simple automations/agent workflows that use LLMs for different tasks. Kinda like Zapier or IFTTT but focused on using natural language to accomplish your tasks.It's super early but we'd love to start getting feedback to steer it in the right direction. It currently supports OpenAI and local models through llm.
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Meta's Segment Anything written with C++ / GGML
> Tensorflow is a C++ framework that has Python bindings and a Python library, but when the models are served they are running on C++
Sure, and it's only a simple 20 step process that involves building Tensorflow from source. Yeay!
https://medium.com/@hamedmp/exporting-trained-tensorflow-mod...
Let me see what the process for compiling a LLM written in Rust is....
https://github.com/rustformers/llm
cargo install llm-cli -
Announcing Floneum (A open source graph editor for local AI workflows written in rust)
Floneum is a graph editor for local AI workflows. It uses llm to run large language models locally, egui, and dioxus for the frontend, and wasmtime for the plugin system. If you are interested in the project, consider joining the discord, or building a plugin for Floneum in rust using WASI
- are there anytools or frameworks similar to "langchain" or "llamaindexbut implemented or designed in a language other than python?
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(1/2) May 2023
Run inference for Large Language Models on CPU, with Rust (https://github.com/rustformers/llm)
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I built a multi-platform desktop app to easily download and run models, open source btw
On the rustformers github page I see that one of the commands to generate the answer is llm llama infer -m ggml-gpt4all-j-v1.3-groovy.bin -p "Rust is a cool programming language because", my basic idea for now is to change the Tauri app to let it do -p prompt, which receives from my code through the link or through a shared variable (if I don't use the link and start different times your app)
- Weekly Megathread - 14 May 2023
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rustformers/llm: Run inference for Large Language Models on CPU, with Rust 🦀🚀🦙
wonnx has done some fantastic work in this regard, so that's where we plan to start once we get there. In terms of general discussion of alternate backends, see this issue.
- llm: a Rust crate/CLI for CPU inference of LLMs, including LLaMA, GPT-NeoX, GPT-J and more
What are some alternatives?
llama.cpp - LLM inference in C/C++
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
ggml - Tensor library for machine learning
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
CodeGen - CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
rwkv.cpp - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
gpt4all.cpp - Locally run an Assistant-Tuned Chat-Style LLM
SD-CN-Animation - This script allows to automate video stylization task using StableDiffusion and ControlNet.