Transformers
Safetensors
nano_deep_reasoner_hypermini
causal-lm
decoder-only
reasoning
deep-reasoning
recurrent-transformer
adaptive-computation
chain-of-thought
adaptive-reasoning
Instructions to use 11-47/Nano.Deep.Reasoner.11m-HyperMini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 11-47/Nano.Deep.Reasoner.11m-HyperMini with Transformers:
# Load model directly from transformers import HyperMiniReasoner model = HyperMiniReasoner.from_pretrained("11-47/Nano.Deep.Reasoner.11m-HyperMini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "adaptive_halting": true, | |
| "architectures": [ | |
| "HyperMiniReasoner" | |
| ], | |
| "base_layers": 6, | |
| "context_length": 1096, | |
| "dataset": "Plans11/Organized_PreTrain_1k_Context", | |
| "head_dimension": 30, | |
| "hidden_size": 240, | |
| "intermediate_size": 1072, | |
| "max_position_embeddings": 1096, | |
| "max_reasoning_steps": 16, | |
| "memory_tokens": 8, | |
| "min_reasoning_steps": 2, | |
| "model_name": "Nano.Deep.Reasoner.11m-HyperMini", | |
| "model_type": "nano_deep_reasoner_hypermini", | |
| "num_attention_heads": 8, | |
| "padding_aware_attention": true, | |
| "padding_query_zeroing": true, | |
| "parameter_count": 11094003, | |
| "reasoning_tokens": [ | |
| "<pad>", | |
| "<bos>", | |
| "<eos>", | |
| "<unk>", | |
| "<think>", | |
| "</think>", | |
| "<thought>", | |
| "</thought>", | |
| "<reasoning>", | |
| "</reasoning>", | |
| "<answer>", | |
| "</answer>", | |
| "<question>", | |
| "</question>", | |
| "<analysis>", | |
| "</analysis>", | |
| "<tool>", | |
| "</tool>" | |
| ], | |
| "revision_head": true, | |
| "rope": true, | |
| "shared_recurrent_reasoner": true, | |
| "tie_word_embeddings": true, | |
| "verification_head": true, | |
| "vocab_size": 16000 | |
| } |