Note:
langvisionis now part of the unifiedlangtrainSDK.pip install langtrain[vision]includes everything from langvision plus AdaptiveRank, DatasetIntelligence, and text LLM support. langvision continues to receive updates and remains fully supported.
Fine-tune Vision LLMs with ease
Train LLaVA, Qwen-VL, and other vision models in minutes.
The simplest way to create custom multimodal AI.
Quick Start • Features • Models • Docs
⚡ Quick Start
1-Click Install (Recommended)
The fastest way to get started. Installs Langvision in an isolated environment.
curl -fsSL https://raw.githubusercontent.com/langtrain-ai/langvision/main/scripts/install.sh | bash
Or using pip
pip install langvision
Fine-tune a vision model in 3 lines:
from langvision import LoRATrainer
trainer = LoRATrainer(model_name="llava-hf/llava-1.5-7b-hf")
trainer.train_from_file("image_data.jsonl")
Your custom vision model is ready.
✨ Features
🤖 Supported Models
| Model | Parameters | Memory Required |
|---|---|---|
| LLaVA 1.5 | 7B, 13B | 8GB, 16GB |
| Qwen-VL | 7B | 8GB |
| CogVLM | 17B | 24GB |
| InternVL | 6B, 26B | 8GB, 32GB |
| Phi-3 Vision | 4.2B | 6GB |
📖 Full Example
from langvision import LoRATrainer
from langvision.config import TrainingConfig, LoRAConfig
# Configure training
config = TrainingConfig(
num_epochs=3,
batch_size=2,
learning_rate=2e-4,
lora=LoRAConfig(rank=16, alpha=32)
)
# Initialize trainer
trainer = LoRATrainer(
model_name="llava-hf/llava-1.5-7b-hf",
output_dir="./my-vision-model",
config=config
)
# Train on image-text data
trainer.train_from_file("training_data.jsonl")
📝 Data Format
{"image": "path/to/image1.jpg", "conversations": [{"from": "human", "value": "What's in this image?"}, {"from": "assistant", "value": "A cat sitting on a couch."}]}
🤝 Community
Built with ❤️ by Langtrain AI
Making vision AI accessible to everyone.
Metadata
Release files for langvision 0.1.60
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| langvision-0.1.60.tar.gz | 147.7 kB | Without provenance | Details for langvision-0.1.60.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| langvision-0.1.60-py3-none-any.whl | Python 3 | none | any | Details for langvision-0.1.60-py3-none-any.whl |
Total release size: 326.9 kB
Release files / langvision-0.1.60.tar.gz
| Download URL | langvision-0.1.60.tar.gz |
|---|---|
| Size | 147.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / langvision-0.1.60-py3-none-any.whl
| Download URL | langvision-0.1.60-py3-none-any.whl |
|---|---|
| Size | 179.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/7.0.0 CPython/3.11.17
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