Text Classification
Transformers
Safetensors
English
mistral3
image-text-to-text
decision-model
typed-decisions
schema-head
jev
calibration
decode-free
Instructions to use StandardThinking/StandardOne-3B-SH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StandardThinking/StandardOne-3B-SH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StandardThinking/StandardOne-3B-SH")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("StandardThinking/StandardOne-3B-SH") model = AutoModelForMultimodalLM.from_pretrained("StandardThinking/StandardOne-3B-SH", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download params.json from StandardThinking/StandardOne-3B-SH: direct link, hf CLI and curl.
- Browser
- Download file 1.1 kB
-
https://huggingface.co/StandardThinking/StandardOne-3B-SH/resolve/main/params.json
- Command line
-
hf download hf://StandardThinking/StandardOne-3B-SH/params.json
-
curl -L -o params.json https://huggingface.co/StandardThinking/StandardOne-3B-SH/resolve/main/params.json
1.1 kB
| { | |
| "dim": 3072, | |
| "n_layers": 26, | |
| "head_dim": 128, | |
| "hidden_dim": 9216, | |
| "n_heads": 32, | |
| "n_kv_heads": 8, | |
| "rope_theta": 1000000.0, | |
| "norm_eps": 1e-05, | |
| "vocab_size": 131072, | |
| "tied_embeddings": true, | |
| "max_position_embeddings": 262144, | |
| "llama_4_scaling": { | |
| "original_max_position_embeddings": 16384, | |
| "beta": 0.1 | |
| }, | |
| "q_lora_rank": null, | |
| "qk_rope_head_dim": null, | |
| "qk_nope_head_dim": null, | |
| "kv_lora_rank": null, | |
| "v_head_dim": null, | |
| "yarn": { | |
| "original_max_position_embeddings": 16384, | |
| "factor": 16, | |
| "apply_scale": false, | |
| "beta": 32, | |
| "alpha": 1 | |
| }, | |
| "vision_encoder": { | |
| "image_token_id": 10, | |
| "intermediate_size": 4096, | |
| "num_hidden_layers": 24, | |
| "num_attention_heads": 16, | |
| "mm_projector_id": "patch_merge", | |
| "spatial_merge_size": 2, | |
| "hidden_size": 1024, | |
| "num_channels": 3, | |
| "image_size": 1540, | |
| "max_image_size": 1540, | |
| "patch_size": 14, | |
| "rope_theta": 10000.0, | |
| "add_pre_mm_projector_layer_norm": true, | |
| "adapter_bias": false, | |
| "image_break_token_id": 12, | |
| "image_end_token_id": 13 | |
| } | |
| } |