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llama7b-fp16-trtllm

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llama7b-fp16-trtllm
File size: 1,311 Bytes 
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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
  }
}