llama-classification
LLaMA-Factory
llama-classification | LLaMA-Factory | |
---|---|---|
1 | 3 | |
90 | 22,989 | |
- | - | |
3.2 | 9.9 | |
about 1 year ago | 7 days ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
llama-classification
-
zero-shot / few-shot / fine-tuning classification with Llama?
sh0416/llama-classification: Text classification with Foundation Language Model LLaMA (github.com)
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?
TencentPretrain - Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
AtomGPT - 中英文预训练大模型,目标与ChatGPT的水平一致
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.