Any-to-Any
Safetensors
Transformers
LongCat-Next
longcat_next
text-generation
multimodal
custom_code
Instructions to use meituan-longcat/LongCat-Next with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meituan-longcat/LongCat-Next with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("meituan-longcat/LongCat-Next", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Any-to-any for production agent workflows
#1
by O96a - opened
The any-to-any multimodal approach is interesting β we've been exploring similar cross-modal architectures for agentic systems where the model needs to handle both vision and language inputs in the same pipeline. The custom LongCat-Next architecture suggests optimizations beyond standard transformer decoders. Quick question: how does this compare to unified models like GPT-4V or open alternatives like Qwen-VL for real-time inference? The 127 downloads suggests early adoption β any plans for quantized variants for edge deployment?