mixtral-offloading
LLaMA-Factory
mixtral-offloading | LLaMA-Factory | |
---|---|---|
3 | 3 | |
2,255 | 22,453 | |
- | - | |
8.6 | 9.9 | |
about 1 month ago | 4 days ago | |
Python | Python | |
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.
mixtral-offloading
-
DBRX: A New Open LLM
Waiting for Mixed Quantization with MQQ and MoE Offloading [1]. With that I was able to run Mistral 8x7B on my 10 GB VRAM rtx3080... This should work for DBRX and should shave off a ton of VRAM requirement.
1. https://github.com/dvmazur/mixtral-offloading?tab=readme-ov-...
- Mixtral in Colab
- Run Mixtral-8x7B models in Colab or consumer desktops
LLaMA-Factory
- FLaNK-AIM Weekly 06 May 2024
-
Show HN: GPU Prices on eBay
Depends what model you want to train, and how well you want your computer to keep working while you're doing it.
If you're interested in large language models there's a table of vram requirements for fine-tuning at [1] which says you could do the most basic type of fine-tuning on a 7B parameter model with 8GB VRAM.
You'll find that training takes quite a long time, and as a lot of the GPU power is going on training, your computer's responsiveness will suffer - even basic things like scrolling in your web browser or changing tabs uses the GPU, after all.
Spend a bit more and you'll probably have a better time.
[1] https://github.com/hiyouga/LLaMA-Factory?tab=readme-ov-file#...
- FLaNK Weekly 31 December 2023
What are some alternatives?
lightning-mlflow-hf - Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow
KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
dbrx - Code examples and resources for DBRX, a large language model developed by Databricks
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
machinascript-for-robots - Build LLM-powered robots in your garage with MachinaScript For Robots!
efficient-kan - An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
generative-ai-python - The Gemini API Python SDK enables developers to use Google's state-of-the-art generative AI models to build AI-powered features and applications.
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
promptbench - A unified evaluation framework for large language models
HALOs - A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
kamal - Deploy web apps anywhere.
Stirling-PDF - #1 Locally hosted web application that allows you to perform various operations on PDF files