| { | |
| "architectures": ["FleckModel"], | |
| "model_type": "fleck", | |
| "custom_architecture": true, | |
| "implementation": "inference.py", | |
| "candidate_id": "Fleck-S-100K", | |
| "vocab_size": 1024, | |
| "hidden_size": 64, | |
| "intermediate_size": 128, | |
| "embedding_rank": 32, | |
| "num_hidden_layers": 4, | |
| "num_physical_blocks": 2, | |
| "num_attention_heads": 4, | |
| "num_key_value_heads": 2, | |
| "head_dim": 16, | |
| "attention_type": "GQA", | |
| "execution_order": ["A", "B", "A", "B"], | |
| "embedding_mode": "factorized_tied", | |
| "tie_word_embeddings": true, | |
| "max_position_embeddings": 2048, | |
| "torch_dtype": "bfloat16", | |
| "bos_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 2, | |
| "unk_token_id": 3, | |
| "use_cache": true | |
| } | |