Text Classification
Transformers
Safetensors
gemma4
image-text-to-text
decision-model
decision-index
system-one
Eval Results (legacy)
Instructions to use MachinePulseAI/karpo-decision-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachinePulseAI/karpo-decision-31B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MachinePulseAI/karpo-decision-31B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MachinePulseAI/karpo-decision-31B") model = AutoModelForMultimodalLM.from_pretrained("MachinePulseAI/karpo-decision-31B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from MachinePulseAI/karpo-decision-31B: direct link, hf CLI and curl.
- Browser
- Download file 5.06 kB
-
https://huggingface.co/MachinePulseAI/karpo-decision-31B/resolve/main/config.json
- Command line
-
hf download hf://MachinePulseAI/karpo-decision-31B/config.json
-
curl -L -o config.json https://huggingface.co/MachinePulseAI/karpo-decision-31B/resolve/main/config.json
5.06 kB
| { | |
| "architectures": [ | |
| "Gemma4ForConditionalGeneration" | |
| ], | |
| "audio_config": null, | |
| "audio_token_id": 258881, | |
| "boa_token_id": 256000, | |
| "boi_token_id": 255999, | |
| "dtype": "bfloat16", | |
| "eoa_token_id": 258883, | |
| "eoa_token_index": 258883, | |
| "eoi_token_id": 258882, | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "image_token_id": 258880, | |
| "initializer_range": 0.02, | |
| "model_type": "gemma4", | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attention_k_eq_v": true, | |
| "bos_token_id": 2, | |
| "dtype": "bfloat16", | |
| "enable_moe_block": false, | |
| "eos_token_id": 1, | |
| "expert_intermediate_size": null, | |
| "final_logit_softcapping": 30.0, | |
| "head_dim": 256, | |
| "hidden_activation": "gelu_pytorch_tanh", | |
| "hidden_size": 5376, | |
| "hidden_size_per_layer_input": 0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 21504, | |
| "layer_types": [ | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "max_position_embeddings": 262144, | |
| "model_type": "gemma4_text", | |
| "moe_intermediate_size": null, | |
| "num_attention_heads": 32, | |
| "num_experts": null, | |
| "num_hidden_layers": 60, | |
| "num_key_value_heads": 16, | |
| "num_kv_shared_layers": 0, | |
| "pad_token_id": 0, | |
| "per_layer_config": { | |
| "05": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "11": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "17": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "23": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "29": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "35": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "41": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "47": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "53": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| }, | |
| "59": { | |
| "head_dim": 512, | |
| "num_key_value_heads": 4 | |
| } | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 1000000.0, | |
| "rope_type": "proportional" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sliding_window": 1024, | |
| "tie_word_embeddings": true, | |
| "top_k_experts": null, | |
| "use_bidirectional_attention": "vision", | |
| "use_cache": true, | |
| "use_double_wide_mlp": false, | |
| "vocab_size": 262144, | |
| "vocab_size_per_layer_input": 262144 | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.21.0", | |
| "video_token_id": 258884, | |
| "vision_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "default_output_length": 280, | |
| "dtype": "bfloat16", | |
| "global_head_dim": 72, | |
| "head_dim": 72, | |
| "hidden_activation": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4304, | |
| "max_position_embeddings": 131072, | |
| "model_type": "gemma4_vision", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 27, | |
| "num_key_value_heads": 16, | |
| "patch_size": 16, | |
| "pooling_kernel_size": 3, | |
| "position_embedding_size": 10240, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "rope_theta": 100.0, | |
| "rope_type": "axial" | |
| }, | |
| "standardize": true, | |
| "use_clipped_linears": false | |
| }, | |
| "vision_soft_tokens_per_image": 280 | |
| } | |