Text Classification
Transformers
ONNX
Safetensors
mojev-scorer
feature-extraction
calibration
structured-output
multiple-choice
preference-learning
multimodal
mojev
custom_code
Eval Results (legacy)
Instructions to use MoLeMo-Lab/mojev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoLeMo-Lab/mojev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MoLeMo-Lab/mojev", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MoLeMo-Lab/mojev", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "PackedScorer" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "modeling.PackedScorerConfig", | |
| "AutoModel": "modeling.PackedScorer" | |
| }, | |
| "context_tokens": 16384, | |
| "dtype": "bfloat16", | |
| "encoder_config": { | |
| "_name_or_path": "Qwen/Qwen3.5-0.8B", | |
| "architectures": [ | |
| "Qwen3_5ForConditionalGeneration" | |
| ], | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "image_token_id": 248056, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_type": "qwen3_5", | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "text_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_output_gate": true, | |
| "bos_token_id": null, | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "head_dim": 256, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3584, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 16, | |
| "linear_value_head_dim": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 2, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": null, | |
| "partial_rotary_factor": 0.25, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "use_cache": true, | |
| "vocab_size": 248320 | |
| }, | |
| "tie_word_embeddings": true, | |
| "video_token_id": 248057, | |
| "vision_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "chunk_size_feed_forward": 0, | |
| "deepstack_visual_indexes": [], | |
| "depth": 12, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_type": "qwen3_5_vision", | |
| "num_heads": 12, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 1024, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "patch_size": 16, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "axial" | |
| }, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "vision_end_token_id": 248054, | |
| "vision_start_token_id": 248053 | |
| }, | |
| "encoder_name": "Qwen/Qwen3.5-0.8B", | |
| "model_type": "mojev-scorer", | |
| "rank": 512, | |
| "schema": { | |
| "fields": [ | |
| { | |
| "description": "the option the state and question license", | |
| "kind": "choice", | |
| "name": "answer", | |
| "options": [ | |
| "slot-0", | |
| "slot-1", | |
| "slot-2", | |
| "slot-3", | |
| "slot-4", | |
| "slot-5", | |
| "slot-6", | |
| "slot-7", | |
| "slot-8", | |
| "slot-9", | |
| "slot-10", | |
| "slot-11", | |
| "slot-12", | |
| "slot-13", | |
| "slot-14", | |
| "slot-15", | |
| "slot-16", | |
| "slot-17", | |
| "slot-18", | |
| "slot-19", | |
| "slot-20", | |
| "slot-21", | |
| "slot-22", | |
| "slot-23", | |
| "slot-24", | |
| "slot-25", | |
| "slot-26", | |
| "slot-27", | |
| "slot-28", | |
| "slot-29", | |
| "slot-30", | |
| "slot-31", | |
| "slot-32", | |
| "slot-33", | |
| "slot-34", | |
| "slot-35", | |
| "slot-36", | |
| "slot-37", | |
| "slot-38", | |
| "slot-39", | |
| "slot-40", | |
| "slot-41", | |
| "slot-42", | |
| "slot-43", | |
| "slot-44", | |
| "slot-45", | |
| "slot-46", | |
| "slot-47", | |
| "slot-48", | |
| "slot-49", | |
| "slot-50", | |
| "slot-51", | |
| "slot-52", | |
| "slot-53", | |
| "slot-54", | |
| "slot-55", | |
| "slot-56", | |
| "slot-57", | |
| "slot-58", | |
| "slot-59", | |
| "slot-60", | |
| "slot-61", | |
| "slot-62", | |
| "slot-63" | |
| ] | |
| } | |
| ] | |
| }, | |
| "transformers_version": "5.17.0" | |
| } | |