Instructions to use Dirdx/YuE2-3B-MLX-with-Hum-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Dirdx/YuE2-3B-MLX-with-Hum-encoder with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Dirdx/YuE2-3B-MLX-with-Hum-encoder --local-dir YuE2-3B-MLX-with-Hum-encoder
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 4bit/config.json from Dirdx/YuE2-3B-MLX-with-Hum-encoder: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Dirdx/YuE2-3B-MLX-with-Hum-encoder/resolve/main/4bit/config.json
- Command line
-
hf download hf://Dirdx/YuE2-3B-MLX-with-Hum-encoder/4bit/config.json
-
curl -L -o config.json https://huggingface.co/Dirdx/YuE2-3B-MLX-with-Hum-encoder/resolve/main/4bit/config.json
1.06 kB
| { | |
| "return_dict": true, | |
| "output_hidden_states": false, | |
| "torchscript": false, | |
| "dtype": "bfloat16", | |
| "tie_word_embeddings": false, | |
| "is_encoder_decoder": false, | |
| "is_decoder": false, | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "YuE2ForCausalLM" | |
| ], | |
| "bos_token_id": null, | |
| "pad_token_id": null, | |
| "eos_token_id": null, | |
| "decoder_start_token_id": null, | |
| "transformers_version": "4.57.6", | |
| "auto_map": { | |
| "AutoConfig": "modeling_yue2.YuE2Config", | |
| "AutoModelForCausalLM": "modeling_yue2.YuE2ForCausalLM" | |
| }, | |
| "model_type": "yue2", | |
| "hidden_size": 2048, | |
| "num_hidden_layers": 28, | |
| "num_attention_heads": 16, | |
| "num_key_value_heads": 8, | |
| "head_dim": 128, | |
| "intermediate_size": 6144, | |
| "vocab_size": 184704, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000, | |
| "max_position_embeddings": 24576, | |
| "latent_type": "vae", | |
| "latent_dim": 64, | |
| "max_latent_frames": 24576, | |
| "timestep_shift": 1.0, | |
| "output_attentions": false, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "nar_bits": 8, | |
| "mode": "affine" | |
| } | |
| } | |