unsloth
skypilot
| unsloth | skypilot | |
|---|---|---|
| 15 | 34 | |
| 8,974 | 5,708 | |
| 42.8% | 4.2% | |
| 9.4 | 9.8 | |
| 3 days ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | 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.
unsloth
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Ask HN: Most efficient way to fine-tune an LLM in 2024?
Gemma 7b is 2.4x faster than HF + FA2.
Check out https://github.com/unslothai/unsloth for full benchmarks!
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Gemma doesn't suck anymore – 8 bug fixes
Here are the missing links:
* Gemma, a family of open models from Google: https://ai.google.dev/gemma
* Unsloth is a tool/method for training models faster (IIUC): https://github.com/unslothai/unsloth
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AMD ROCm Software Blogs
Thanks! Again, partnerships over customers. If you're experienced and have the technical chops to make a MI300x sing, we want to work with you. Our model is that we are the capex/opex investor for businesses. As much as I love software, Hot Aisle is more of a hardware business. Running super high end large scale compute is an extreme challenge in itself. We are less interested in building the software side of things and want to foster those who can focus on that side.
https://github.com/unslothai/unsloth/issues/160
https://github.com/search?q=repo%3Apredibase%2Florax+rocm&ty...
https://github.com/sgl-project/sglang/issues/157
https://github.com/casper-hansen/AutoAWQ (supports rocm)
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Show HN: We got fine-tuning Mistral-7B to not suck
Unsloth’s colab notebooks for fine-tuning Mistral-7B are super easy to use and run fine in just about any colab instance:
https://github.com/unslothai/unsloth
It’s my default now for experimenting and basic training. If I want to get into the weeds with the training, I use axolotl, but 9/10, it’s not really necessary.
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Mistral 7B Fine-Tune Optimized
If anyone wants to finetune their own Mistral 7b model 2.2x faster and use 62% less memory - give our open source package Unsloth a try! https://github.com/unslothai/unsloth a try! :)
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Has anyone tried out the ASPEN-Framework for LoRA Fine-Tuning yet and can share their experience?
https://github.com/unslothai/unsloth seems good and more relevant to your aims perhaps but I haven't tried it.
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Can we discuss MLOps, Deployment, Optimizations, and Speed?
The unsloth project offers some low-level optimizations for Llama et al, and as of today some prelim Mistral work (which I heard is the llama architecture?)
- Show HN: 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning
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80% faster, 50% less memory, 0% accuracy loss Llama finetuning
This seems to just be a link to the Unsloth Github repo[0], which in turn is the free version of Unsloth Pro/Max[1]. Maybe the link should be changed?
[0]: https://github.com/unslothai/unsloth
- 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning
skypilot
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Alternative clouds are booming as companies seek cheaper access to GPUs
Skypilot is worth a mention here:
https://github.com/skypilot-org/skypilot
Open source CLI to deploy multiple gpu vm’s on all major cloud providers, with an option to use spot pricing with 1 cheap vm used as a controller to always make sure you have the most inexpensive deployment available with failover and load balancing.
It’s like beating the cloud providers at their own game I wouldn’t be surprised if they banned it.
- Ask HN: Most efficient way to fine-tune an LLM in 2024?
- SGLang: Fast and Expressive LLM Inference with RadixAttention for 5x Throughput
- Serving Your Private Code Llama-70B with API, Chat, and VSCode Access
- A new old kind of R&D lab
- New Recipe: Serving Llama-2 with VLLM's OpenAI-Compatible API Server
- Train Your Own Vicuna on Llama-2
- Run Llama2 in your cloud privately
- SkyPilot: Run LLMs, AI, and Batch jobs on any cloud
- Chat with your documents using LocalGPT and SkyPilot
What are some alternatives?
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
reflex - 🕸️ Web apps in pure Python 🐍
llama.cpp - LLM inference in C/C++
tiktoken - tiktoken is a fast BPE tokeniser for use with OpenAI's models.
nanoChatGPT - nanogpt turned into a chat model
skyplane - 🔥 Blazing fast bulk data transfers between any cloud 🔥
gpt-fast - Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
bricks - Open-source natural language enrichments at your fingertips.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
min - A fast, minimal browser that protects your privacy
accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
pynimate - Python package for statistical data animations