Add Qwen/Qwen3-32B to quant queue

Qwen/Qwen3-32B_quant_request_False_MXFP8_8bit_mxfp8_RTN.json

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+{"job_type": "quantization & evaluation", "model": "Qwen/Qwen3-32B", "revision": "main", "private": false, "params": 32.76, "architectures": "Qwen3ForCausalLM", "num_layers": 64, "input_dtype": "bfloat16", "input_bits": 16, "model_params": 32.76, "model_weight_gb": 65.52, "quant_scheme": "MXFP8", "quant_precision": "8bit", "quant_weight_dtype": "mxfp8", "quant_bits": 8, "quant_memory_gb": 3.07, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 72.07, "eval_gpu_type": "NVIDIA RTX PRO 6000 Blackwell Server Edition", "eval_gpu_nums": 1, "quant_model_size_gb": 32.76, "hardware": "NVIDIA RTX PRO 6000 Blackwell Server Edition", "gpu_nums": 1, "method": "RTN", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-09-16T03:34:36Z", "submitted_by": "lvkaokao", "submitted_orgs": ["Intel", "INCModel", "INCModel2", "INCModel3", "INCModelSharing", "INCModel6", "INCModel7"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 747, "license": "apache-2.0", "still_on_hub": true, "tags": ["moe"], "downloads": 0, "created_at": ""}