{ "version": "0.9.0.dev2024020600", "pretrained_config": { "architecture": "PhiForCausalLM", "dtype": "float16", "logits_dtype": "float32", "vocab_size": 51200, "max_position_embeddings": 2048, "hidden_size": 2560, "num_hidden_layers": 32, "num_attention_heads": 32, "num_key_value_heads": 32, "head_size": 80, "hidden_act": "gelu_new", "intermediate_size": 10240, "norm_epsilon": 1e-05, "position_embedding_type": "learned_absolute", "use_prompt_tuning": false, "use_parallel_embedding": false, "embedding_sharding_dim": 0, "share_embedding_table": false, "mapping": { "world_size": 1, "tp_size": 1, "pp_size": 1 }, "kv_dtype": "float16", "max_lora_rank": 64, "partial_rotary_factor": 0.4, "rope_theta": 10000.0, "rotary_base": 10000.0, "quantization": { "quant_algo": null, "kv_cache_quant_algo": null, "group_size": 128, "has_zero_point": false, "pre_quant_scale": false, "exclude_modules": null, "sq_use_plugin": false } }, "build_config": { "max_input_len": 1024, "max_output_len": 1024, "max_batch_size": 1, "max_beam_width": 1, "max_num_tokens": 1024, "max_prompt_embedding_table_size": 0, "gather_context_logits": false, "gather_generation_logits": false, "strongly_typed": false, "builder_opt": null, "profiling_verbosity": "layer_names_only", "plugin_config": { "bert_attention_plugin": "float16", "gpt_attention_plugin": "float16", "gemm_plugin": "float16", "smooth_quant_gemm_plugin": null, "identity_plugin": null, "layernorm_quantization_plugin": null, "rmsnorm_quantization_plugin": null, "nccl_plugin": null, "lookup_plugin": null, "lora_plugin": null, "weight_only_groupwise_quant_matmul_plugin": null, "weight_only_quant_matmul_plugin": null, "quantize_per_token_plugin": false, "quantize_tensor_plugin": false, "context_fmha": true, "context_fmha_fp32_acc": false, "paged_kv_cache": true, "remove_input_padding": true, "use_custom_all_reduce": true, "multi_block_mode": false, "enable_xqa": true, "attention_qk_half_accumulation": false, "tokens_per_block": 128, "use_paged_context_fmha": false, "use_context_fmha_for_generation": false } } }