gemma-7b-sql / trt /config.json
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{
"builder_config": {
"apply_query_key_layer_scaling": false,
"fp8": false,
"head_size": 256,
"hidden_act": "geglu",
"hidden_size": 3072,
"int8": false,
"max_batch_size": 8,
"max_input_len": 256,
"max_output_len": 256,
"max_position_embeddings": 8192,
"max_prompt_embedding_table_size": 0,
"name": "NeMo",
"num_heads": 16,
"num_kv_heads": 16,
"num_layers": 28,
"paged_kv_cache": false,
"parallel_build": false,
"pipeline_parallel": 1,
"precision": "bfloat16",
"tensor_parallel": 1,
"tokens_per_block": 64,
"use_parallel_embedding": false,
"use_refit": false,
"vocab_size": 256000,
"world_size": 1
},
"plugin_config": {
"attention_qk_half_accumulation": false,
"bert_attention_plugin": false,
"context_fmha_type": 1,
"gemm_plugin": "bfloat16",
"gpt_attention_plugin": "bfloat16",
"identity_plugin": false,
"layernorm_plugin": false,
"layernorm_quantization_plugin": false,
"lookup_plugin": false,
"lora_plugin": false,
"multi_block_mode": false,
"nccl_plugin": false,
"paged_kv_cache": false,
"quantize_per_token_plugin": false,
"quantize_tensor_plugin": false,
"remove_input_padding": false,
"rmsnorm_plugin": false,
"rmsnorm_quantization_plugin": false,
"smooth_quant_gemm_plugin": false,
"tokens_per_block": 0,
"use_context_fmha_for_generation": false,
"use_custom_all_reduce": false,
"use_paged_context_fmha": false,
"weight_only_groupwise_quant_matmul_plugin": false,
"weight_only_quant_matmul_plugin": false
}
}