LLaMA-Factory VS KVQuant

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

LLaMA-Factory

Unify Efficient Fine-Tuning of 100+ LLMs (by hiyouga)
fine-tuning language-model llama llm peft Transformers rlhf qlora quantization chatglm baichuan qwen instruction-tuning mistral Gpt generative-ai Lora llms large-language-models mixture-of-experts
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KVQuant

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization (by SqueezeAILab)
Compression efficient-inference efficient-model large-language-models llama llm localllama localllm mistral model-compression Natural Language Processing quantization small-models text-generation Transformer
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LLaMA-Factory KVQuant
3 1
21,791 200
- 15.5%
9.9 5.9
2 days ago 24 days ago
Python Python
Apache License 2.0 -
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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

KVQuant

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

What are some alternatives?

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

seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.

fltr - Like grep but for natural language questions. Based on Mistral 7B or Mixtral 8x7B.

machinascript-for-robots - Build LLM-powered robots in your garage with MachinaScript For Robots!

DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

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.

Stirling-PDF - #1 Locally hosted web application that allows you to perform various operations on PDF files

osgameclones - Open Source Clones of Popular Games

LLaMA-Factory vs seatunnel KVQuant vs fltr LLaMA-Factory vs machinascript-for-robots KVQuant vs DeepCache LLaMA-Factory vs efficient-kan LLaMA-Factory vs generative-ai-python LLaMA-Factory vs FLaNK-Ice LLaMA-Factory vs promptbench LLaMA-Factory vs HALOs LLaMA-Factory vs kamal LLaMA-Factory vs Stirling-PDF LLaMA-Factory vs osgameclones