LLaMA-Factory
efficient-kan
| LLaMA-Factory | efficient-kan | |
|---|---|---|
| 3 | 4 | |
| 22,989 | 3,038 | |
| - | - | |
| 9.9 | 5.6 | |
| 6 days ago | 10 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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LLaMA-Factory
- FLaNK-AIM Weekly 06 May 2024
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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
efficient-kan
- FLaNK-AIM Weekly 06 May 2024
- Pure-PyTorch Implementation of Kolmogorov-Arnold Network (Kan)
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Kolmogorov-Arnold Networks
Nice implementation I've been playing with, https://github.com/Blealtan/efficient-kan alongside @GistNoesis's.
What are some alternatives?
KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
kan-gpt - The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
examples - Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
machinascript-for-robots - Build LLM-powered robots in your garage with MachinaScript For Robots!
VectorDBBench - A Benchmark Tool for VectorDB
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.
threlte - 3D framework for Svelte
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.
promptbench - A unified evaluation framework for large language models
llamafile - Distribute and run LLMs with a single file.