| richard | llm.f90 | |
|---|---|---|
| 1 | 13 | |
| 162 | 49 | |
| - | - | |
| 9.3 | 8.4 | |
| 20 days ago | 2 months ago | |
| C++ | Fortran | |
| GNU General Public License v3.0 only | MIT License |
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richard
llm.f90
- llm.f90: LLM Inference in Fortran
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karpathy/llm.c
I'd like to think he took the name from my llm.f90 project https://github.com/rbitr/llm.f90
It was originally based off of Karpathy's llama2.c but I renamed it when I added support for other architectures.
Probable a coincidence :)
-
Winteracter – The Fortran GUI Toolset
I'm a Fortran hobbyist. I'm working (unfortunately less frequently now) on a LLM framework in Fortan: https://github.com/rbitr/llm.f90
- Fortran implementation of phi-2 LLM
- Fortran implementation of phi-2 language model
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TinyLlama: An Open-Source Small Language Model
Also, I should promote the code I wrote for running this. It runs models in ggml format, the one I made available is an older checkpoint though. It's easy to convert the newer one. And it's in Fortran but it should be easy to get gfortran if you don't have it installed.
https://github.com/rbitr/llm.f90/tree/optimize16/purefortran
- Mamba LLM Inference on CPU
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Minimal implementation of Mamba, the new LLM architecture, in 1 file of PyTorch
The original mamba code has a lot of speed optimizations and other stuff that make it difficult to immediately get so this will help with learning.
I can't help but also plug my own Mamba inference implementation. https://github.com/rbitr/llm.f90/tree/master/ssm
- Mamba state-space LLM inference
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Guide to the Mamba architecture that claims to be a replacement for Transformers
You may also be interested in https://github.com/rbitr/llm.f90/tree/master/ssm it's my inference only implementation of mamba which ends up being much simpler than the training code in the original repo
What are some alternatives?
candle - Minimalist ML framework for Rust
rwkv.f90 - Port of the RWKV-LM model in Fortran (Back to the Future!)
llm.c - LLM training in simple, raw C/CUDA
neural-fortran - A parallel framework for deep learning
Time-LLM - [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
inference-engine - A deep learning library for use in high-performance computing applications in modern Fortran
Fortran-code-on-GitHub - Directory of Fortran codes on GitHub, arranged by topic
fastGPT - Fast GPT-2 inference written in Fortran
mamba-minimal - Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
ClimaCore.jl - CliMA model dycore
mamba - The Fast Cross-Platform Package Manager