Add Qwen/Qwen3.5-35B-A3B to quant queue

Qwen/Qwen3.5-35B-A3B_quant_request_False_MXFP8_8bit_mxfp8_MODEL_FREE.json

@@ -0,0 +1 @@
+{"job_type": "quantization & evaluation", "model": "Qwen/Qwen3.5-35B-A3B", "revision": "main", "private": false, "params": 35.95, "architectures": "Qwen3_5MoeForConditionalGeneration", "num_layers": 40, "input_dtype": "float16", "input_bits": 16, "model_params": 35.95, "model_weight_gb": 71.9, "quant_scheme": "MXFP8", "quant_precision": "8bit", "quant_weight_dtype": "mxfp8", "quant_bits": 8, "quant_memory_gb": 5.39, "quant_gpu_type": "AWS B200", "quant_gpu_nums": 1, "eval_memory_gb": 79.09, "eval_gpu_type": "AWS B200", "eval_gpu_nums": 1, "quant_model_size_gb": 35.95, "hardware": "AWS B200", "gpu_nums": 1, "method": "MODEL_FREE", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-07-13T11:31:17Z", "submitted_by": "lvkaokao", "submitted_orgs": ["Intel", "INCModel", "INCModel2", "INCModelSharing"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "ignore_layers": "lm_head,mlp.gate,visual.", "layer_config": "{mlp.experts:{bits:4,data_type:mx_fp}}", "agent_type": "local", "cuda_visible_devices": "6", "likes": 1461, "license": "apache-2.0", "still_on_hub": true, "tags": ["moe"], "downloads": 0, "created_at": ""}