TobyYang7/Llava_Qwen2
Visual Instruction Tuning for Qwen2 Base Model
This project helps integrate and fine-tune advanced large language and vision models for multi-modal analysis. It takes diverse datasets, including specialized financial visuals, and generates a powerful model capable of understanding and responding to visual instructions. This is designed for AI researchers and practitioners who want to build custom multi-modal AI applications.
No commits in the last 6 months.
Use this if you are an AI researcher looking to fine-tune a powerful visual instruction model with enhanced capabilities for various domains, including finance.
Not ideal if you are looking for a ready-to-use application or API without needing to engage in model training and integration.
Stars
41
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/TobyYang7/Llava_Qwen2"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
adithya-s-k/AI-Engineering.academy
Mastering Applied AI, One Concept at a Time
jax-ml/jax-llm-examples
Minimal yet performant LLM examples in pure JAX
young-geng/scalax
A simple library for scaling up JAX programs
riyanshibohra/TuneKit
Upload your data → Get a fine-tuned SLM. Free.