llama-classification VS LLaMA-Factory

Compare llama-classification vs LLaMA-Factory and see what are their differences.

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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
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llama-classification

Posts with mentions or reviews of llama-classification. We have used some of these posts to build our list of alternatives and similar projects.

LLaMA-Factory

Posts with mentions or reviews of LLaMA-Factory. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-06.
  • FLaNK-AIM Weekly 06 May 2024
    45 projects | dev.to | 6 May 2024
  • Show HN: GPU Prices on eBay
    1 project | news.ycombinator.com | 23 Feb 2024
    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
    25 projects | dev.to | 31 Dec 2023

What are some alternatives?

When comparing llama-classification and LLaMA-Factory you can also consider the following projects:

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.