Add Qwen/Qwen3.5-27B-GPTQ-Int4 to quant queue

Qwen/Qwen3.5-27B-GPTQ-Int4_quant_request_False_W4A16_4bit_int4_RTN.json

@@ -0,0 +1 @@
+{"job_type": "quantization & evaluation", "model": "Qwen/Qwen3.5-27B-GPTQ-Int4", "revision": "main", "private": false, "params": 12.96, "architectures": "Qwen3_5ForConditionalGeneration", "num_layers": 64, "input_dtype": "float16", "input_bits": 16, "model_params": 12.96, "model_weight_gb": 30.24, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 1.42, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 14.26, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 6.48, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "method": "RTN", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-06-03T07:15:17Z", "submitted_by": "Xuehao", "submitted_orgs": ["Intel"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 55, "license": "apache-2.0", "still_on_hub": true, "tags": ["moe"], "downloads": 0, "created_at": ""}