axolotl
skypilot
axolotl | skypilot | |
---|---|---|
29 | 33 | |
5,811 | 5,675 | |
9.3% | 3.0% | |
9.8 | 9.8 | |
5 days ago | about 24 hours ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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axolotl
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Ask HN: Most efficient way to fine-tune an LLM in 2024?
The approach I see used is axolotl with QLoRA using cloud GPUs which can be quite cheap.
https://github.com/OpenAccess-AI-Collective/axolotl
- FLaNK AI - 01 April 2024
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LoRA from Scratch implementation for LLM finetuning
https://github.com/OpenAccess-AI-Collective/axolotl
- Optimized Triton Kernels for full fine tunes
- Axolotl
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Let’s Collaborate to Build a High-Quality, Open-Source Dataset for LLMs!
One option is to look at what Axolotl uses. They have a list of different dataset formats that they support. They're mostly in JSON with specific field names, so you could start putting a dataset together with a text editor or a JSON editor.
- Axolotl: Streamline fine-tuning of AI models
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Dataset Creation Tools?
You can save that overall set into a json file and load it up as training data in whatever you're using. I'm using axolotl for it at the moment. Though a GUI based option is probably best for the first couple of tries until you get a feel for the options.
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Progress on Reproducing Phi-1/1.5
Looking forward to the results! If it turns out the dataset is reproducible, then it might be a good candidate for ReLora training on axolotl!
skypilot
- 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
- Chat with your PDFs by self-hosting LocalGPT on any cloud
What are some alternatives?
signal-cli - signal-cli provides an unofficial commandline, JSON-RPC and dbus interface for the Signal messenger.
reflex - 🕸️ Web apps in pure Python 🐍
gpt-llm-trainer
tiktoken - tiktoken is a fast BPE tokeniser for use with OpenAI's models.
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
skyplane - 🔥 Blazing fast bulk data transfers between any cloud 🔥
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
bricks - Open-source natural language enrichments at your fingertips.
LMFlow - An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
min - A fast, minimal browser that protects your privacy
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
pynimate - Python package for statistical data animations