Instructions to use zeromodels/deepseek_vl_7b_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/deepseek_vl_7b_base with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/deepseek_vl_7b_base with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/deepseek_vl_7b_base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.2.1", | |
| "model_module": "kerasformers.models.deepseek_vl_hybrid", | |
| "model_class": "DeepseekVLHybridModel", | |
| "variant": "deepseek_vl_7b_base", | |
| "weights": "model.weights.json", | |
| "schema_version": 2, | |
| "weight_dtype": "float16", | |
| "model_type": "deepseek_vl_hybrid", | |
| "text_config": { | |
| "vocab_size": 102400, | |
| "embed_dim": 4096, | |
| "mlp_dim": 11008, | |
| "num_layers": 30, | |
| "num_heads": 32, | |
| "num_kv_heads": 32, | |
| "head_dim": 128, | |
| "norm_eps": 1e-06, | |
| "rope_theta": 10000.0, | |
| "tie_embeddings": false | |
| }, | |
| "vision_config": { | |
| "embed_dim": 1024, | |
| "mlp_dim": 4096, | |
| "num_layers": 24, | |
| "num_heads": 16, | |
| "norm_eps": 1e-06, | |
| "image_size": 384, | |
| "patch_size": 16 | |
| }, | |
| "high_res_config": { | |
| "embed_dim": 768, | |
| "mlp_dim": 3072, | |
| "num_layers": 12, | |
| "num_heads": 12, | |
| "image_size": 1024, | |
| "patch_size": 16, | |
| "output_channels": 256, | |
| "window_size": 14, | |
| "global_attn_indexes": [ | |
| 2, | |
| 5, | |
| 8, | |
| 11 | |
| ], | |
| "norm_eps": 1e-06 | |
| }, | |
| "image_token_id": 100015 | |
| } |