Text-to-Video
MLX
Diffusers
Safetensors
English
Chinese
apple-silicon
video-generation
image-to-video
video-continuation
longcat
flow-matching
block-sparse-attention
quantized
4-bit precision
Instructions to use mlx-community/LongCat-Video-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/LongCat-Video-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LongCat-Video-q4 mlx-community/LongCat-Video-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "_name_or_path": "google/umt5-xxl", | |
| "architectures": [ | |
| "UMT5EncoderModel" | |
| ], | |
| "classifier_dropout": 0.0, | |
| "d_ff": 10240, | |
| "d_kv": 64, | |
| "d_model": 4096, | |
| "decoder_start_token_id": 0, | |
| "dense_act_fn": "gelu_new", | |
| "dropout_rate": 0.1, | |
| "eos_token_id": 1, | |
| "feed_forward_proj": "gated-gelu", | |
| "initializer_factor": 1.0, | |
| "is_encoder_decoder": true, | |
| "is_gated_act": true, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "umt5", | |
| "num_decoder_layers": 24, | |
| "num_heads": 64, | |
| "num_layers": 24, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "relative_attention_max_distance": 128, | |
| "relative_attention_num_buckets": 32, | |
| "scalable_attention": true, | |
| "tie_word_embeddings": false, | |
| "tokenizer_class": "T5Tokenizer", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 256384 | |
| } | |