llama7b-fp16-trtllm / config.json
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{
"builder_config": {
"fp8": false,
"hidden_act": "silu",
"hidden_size": 4096,
"int8": false,
"max_batch_size": 8,
"max_input_len": 2048,
"max_output_len": 512,
"max_position_embeddings": 2048,
"name": "llama",
"num_heads": 32,
"num_kv_heads": 32,
"num_layers": 32,
"paged_kv_cache": false,
"parallel_build": false,
"precision": "float16",
"tensor_parallel": 1,
"tokens_per_block": 64,
"use_refit": false,
"vocab_size": 32000
},
"plugin_config": {
"attention_qk_half_accumulation": false,
"bert_attention_plugin": false,
"context_fmha_type": 0,
"gemm_plugin": "float16",
"gpt_attention_plugin": "float16",
"identity_plugin": false,
"in_flight_batching": false,
"inflight_batching_gpt_attention_plugin": false,
"layernorm_plugin": false,
"layernorm_quantization_plugin": false,
"lookup_plugin": 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,
"weight_only_groupwise_quant_matmul_plugin": false,
"weight_only_quant_matmul_plugin": false
}
}