Add aquiffoo/neo-3-1B-A90M-Base to quant queue

aquiffoo/neo-3-1B-A90M-Base_quant_request_False_W4A16_4bit_int4_RTN.json

@@ -0,0 +1 @@
+{"job_type": "quantization & evaluation", "model": "aquiffoo/neo-3-1B-A90M-Base", "revision": "main", "private": false, "params": 0.99, "architectures": "MixtralForCausalLM", "num_layers": 30, "input_dtype": "float16", "input_bits": 16, "model_params": 0.99, "model_weight_gb": 1.98, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 0.2, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 1.09, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 0.49, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "method": "RTN", "script": "auto_quant", "status": "Pending", "submitted_time": "2026-06-11T16:40:35Z", "submitted_by": "FlameF0X", "submitted_orgs": ["discord-community", "GoofyLM", "purrgpt-community", "SHA-index", "netgoat-ai", "i3-lab", "anwgpt", "ml-intern-explorers", "build-small-hackathon", "IndexLM"], "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 2, "license": "mit", "still_on_hub": true, "tags": ["moe"], "downloads": 0, "created_at": ""}