Instructions to use aidiffuser/GLM-5.2-Vision-tower-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aidiffuser/GLM-5.2-Vision-tower-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-5.2-Vision-tower-MLX aidiffuser/GLM-5.2-Vision-tower-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 994 Bytes
9961374 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | {
"source": "MoonViT tower from moonshotai/Kimi-K2.6 (via exolabs extract) + trained projector from baseten/GLM-5.2-Vision-NVFP4",
"component": "vision_tower + mm_projector",
"model_type": "kimi_k25",
"vision_config": {
"patch_size": 14,
"init_pos_emb_height": 64,
"init_pos_emb_width": 64,
"init_pos_emb_time": 4,
"pos_emb_type": "divided_fixed",
"num_attention_heads": 16,
"num_hidden_layers": 27,
"hidden_size": 1152,
"intermediate_size": 4304,
"vt_num_attention_heads": 16,
"vt_num_hidden_layers": 27,
"vt_hidden_size": 1152,
"vt_intermediate_size": 4304,
"merge_kernel_size": [
2,
2
],
"video_attn_type": "spatial_temporal",
"merge_type": "sd2_tpool",
"mm_projector_type": "patchmerger",
"mm_hidden_size": 1152,
"projector_hidden_act": "gelu",
"projector_ln_eps": 1e-05,
"text_hidden_size": 6144
},
"text_config": {
"hidden_size": 6144
},
"media_placeholder_token_id": 154854,
"original_dtype": "bfloat16",
"num_tensors": 335
} |