| { | |
| "_name_or_path": "./poro-30-awq", | |
| "apply_residual_connection_post_layernorm": false, | |
| "architectures": [ | |
| "BloomForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "attention_softmax_in_fp32": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 7168, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "masked_softmax_fusion": true, | |
| "max_new_tokens": 2048, | |
| "model_type": "bloom", | |
| "n_head": 56, | |
| "n_layer": 54, | |
| "pad_token_id": 3, | |
| "pretraining_tp": 2, | |
| "quantization_config": { | |
| "bits": 4, | |
| "group_size": 128, | |
| "quant_method": "awq", | |
| "version": "gemm", | |
| "zero_point": true | |
| }, | |
| "slow_but_exact": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.35.1", | |
| "use_cache": true, | |
| "vocab_size": 128000 | |
| } | |