Anim Vid AI: Turning Any Concept Into a Manim Animation With Fine-Tuned Small Models
build-small-hackathon
• • 2How to use ovi054/qwen3-0.6b-manim-lora with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ovi054/qwen3-0.6b-manim-lora", device_map="auto")How to use ovi054/qwen3-0.6b-manim-lora with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ovi054/qwen3-0.6b-manim-lora to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ovi054/qwen3-0.6b-manim-lora to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ovi054/qwen3-0.6b-manim-lora to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="ovi054/qwen3-0.6b-manim-lora",
max_seq_length=2048,
)irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ovi054/qwen3-0.6b-manim-lora to start chatting# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ovi054/qwen3-0.6b-manim-lora to start chattingpip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="ovi054/qwen3-0.6b-manim-lora",
max_seq_length=2048,
)This qwen3 model was trained 2x faster with Unsloth
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ovi054/qwen3-0.6b-manim-lora to start chatting