[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-qwen25-coder-14b":3},{"id":4,"slug":5,"name":6,"hf_id":7,"organization":8,"architecture":9,"architecture_config":10,"parameters":11,"parameters_label":12,"context_length":13,"license":14,"downloads":15,"likes":16,"status":17,"description":10,"huggingface_url":18,"created_at":19,"seo":20,"category":23,"family":26,"score":28,"variants":29,"quantizations":30,"requirements":57,"gpu_recommendations":140,"fitting_gpus":211,"community":246},318,"qwen25-coder-14b","Qwen2.5-Coder 14B","Qwen\u002FQwen2.5-Coder-14B-Instruct","Qwen","transformer",null,14700000000,"14.7B",131072,"MIT",2455195,180,"published","https:\u002F\u002Fhuggingface.co\u002FQwen\u002FQwen2.5-Coder-14B-Instruct","2026-08-12T03:11:22+00:00",{"title":6,"description":21,"image":10,"robots":22,"canonical_url":10},"AI 模型部署决策引擎——开源 AI 的 GPU 需求、云端价格与成本分析。","index, follow",{"name":24,"slug":25},"Coding AI","coding",{"name":8,"slug":27},"qwen",0.0899,[],[31,36,41,46,50,54],{"format":32,"bits":33,"size_factor":34,"quality_loss":35},"AWQ",4,0.263,0.03,{"format":37,"bits":38,"size_factor":39,"quality_loss":40},"FP16",16,1,0,{"format":42,"bits":43,"size_factor":44,"quality_loss":45},"FP8",8,0.5,0.01,{"format":47,"bits":33,"size_factor":48,"quality_loss":49},"GGUF",0.25,0.05,{"format":51,"bits":33,"size_factor":52,"quality_loss":53},"GPTQ",0.275,0.04,{"format":55,"bits":43,"size_factor":44,"quality_loss":56},"INT8",0.02,{"FP16":58,"FP8":82,"INT8":96,"AWQ":100,"GPTQ":114,"GGUF":127},{"minimum":59,"production":68,"recommended":75},{"scenario":60,"context_length":61,"batch_size":39,"weight_gb":62,"kv_cache_gb":44,"vram_gb":63,"ram_gb":64,"disk_gb":65,"requirement_source":66,"confidence":67},"minimum",4096,27.38,39.59,59.38,81.71,"estimated",0.95,{"scenario":69,"context_length":70,"batch_size":33,"weight_gb":62,"kv_cache_gb":71,"vram_gb":72,"ram_gb":73,"disk_gb":74,"requirement_source":66,"confidence":67},"production",16384,64,155.39,233.08,146.71,{"scenario":76,"context_length":77,"batch_size":78,"weight_gb":62,"kv_cache_gb":43,"vram_gb":79,"ram_gb":80,"disk_gb":81,"requirement_source":66,"confidence":67},"recommended",8192,2,56.91,85.37,107.71,{"minimum":83,"production":88,"recommended":92},{"scenario":60,"context_length":61,"batch_size":39,"weight_gb":84,"kv_cache_gb":44,"vram_gb":85,"ram_gb":86,"disk_gb":87,"requirement_source":66,"confidence":67},13.69,22.27,33.4,60.36,{"scenario":69,"context_length":70,"batch_size":33,"weight_gb":84,"kv_cache_gb":71,"vram_gb":89,"ram_gb":90,"disk_gb":91,"requirement_source":66,"confidence":67},136.49,204.74,125.36,{"scenario":76,"context_length":77,"batch_size":78,"weight_gb":84,"kv_cache_gb":43,"vram_gb":93,"ram_gb":94,"disk_gb":95,"requirement_source":66,"confidence":67},38.81,58.21,86.36,{"minimum":97,"production":98,"recommended":99},{"scenario":60,"context_length":61,"batch_size":39,"weight_gb":84,"kv_cache_gb":44,"vram_gb":85,"ram_gb":86,"disk_gb":87,"requirement_source":66,"confidence":67},{"scenario":69,"context_length":70,"batch_size":33,"weight_gb":84,"kv_cache_gb":71,"vram_gb":89,"ram_gb":90,"disk_gb":91,"requirement_source":66,"confidence":67},{"scenario":76,"context_length":77,"batch_size":78,"weight_gb":84,"kv_cache_gb":43,"vram_gb":93,"ram_gb":94,"disk_gb":95,"requirement_source":66,"confidence":67},{"minimum":101,"production":106,"recommended":110},{"scenario":60,"context_length":61,"batch_size":39,"weight_gb":102,"kv_cache_gb":44,"vram_gb":103,"ram_gb":104,"disk_gb":105,"requirement_source":66,"confidence":67},7.1,13.93,32,50.08,{"scenario":69,"context_length":70,"batch_size":33,"weight_gb":102,"kv_cache_gb":71,"vram_gb":107,"ram_gb":108,"disk_gb":109,"requirement_source":66,"confidence":67},127.4,191.1,115.08,{"scenario":76,"context_length":77,"batch_size":78,"weight_gb":102,"kv_cache_gb":43,"vram_gb":111,"ram_gb":112,"disk_gb":113,"requirement_source":66,"confidence":67},30.09,45.14,76.08,{"minimum":115,"production":119,"recommended":123},{"scenario":60,"context_length":61,"batch_size":39,"weight_gb":116,"kv_cache_gb":44,"vram_gb":117,"ram_gb":104,"disk_gb":118,"requirement_source":66,"confidence":67},7.19,14.04,50.21,{"scenario":69,"context_length":70,"batch_size":33,"weight_gb":116,"kv_cache_gb":71,"vram_gb":120,"ram_gb":121,"disk_gb":122,"requirement_source":66,"confidence":67},127.52,191.28,115.21,{"scenario":76,"context_length":77,"batch_size":78,"weight_gb":116,"kv_cache_gb":43,"vram_gb":124,"ram_gb":125,"disk_gb":126,"requirement_source":66,"confidence":67},30.21,45.31,76.21,{"minimum":128,"production":132,"recommended":136},{"scenario":60,"context_length":61,"batch_size":39,"weight_gb":129,"kv_cache_gb":44,"vram_gb":130,"ram_gb":104,"disk_gb":131,"requirement_source":66,"confidence":67},7.36,14.26,50.48,{"scenario":69,"context_length":70,"batch_size":33,"weight_gb":129,"kv_cache_gb":71,"vram_gb":133,"ram_gb":134,"disk_gb":135,"requirement_source":66,"confidence":67},127.75,191.63,115.48,{"scenario":76,"context_length":77,"batch_size":78,"weight_gb":129,"kv_cache_gb":43,"vram_gb":137,"ram_gb":138,"disk_gb":139,"requirement_source":66,"confidence":67},30.43,45.65,76.48,{"recommended":141,"cheapest":163,"performance":179,"min_complexity":194,"cluster_options":207,"no_match":208,"required_vram_gb":111,"candidate_count":209,"usage":210},{"gpu_model":142,"gpu_model_id":143,"gpu_count":39,"total_vram_gb":144,"hour_price":145,"monthly_cost":146,"providers":147,"bandwidth_gbps":152,"fp16_tflops":153,"interconnect_score":154,"parallel_efficiency":39,"score":155,"tier":156,"perf_metric":157,"perf_label":158,"perf_value":159,"workload":10,"cost_metric":160},"H100 SXM",10,80,1.6059,1172.31,[148,149,150,151],"vast","tensordock","runpod","lambda",3350,66.9,40,0.5898,"balanced","tok\u002Fs","471.8 tok\u002Fs",471.8,{"effective_value":161,"effective_unit":157,"capacity_factor":162},330.3,0.7,{"gpu_model":164,"gpu_model_id":165,"gpu_count":33,"total_vram_gb":166,"hour_price":167,"monthly_cost":168,"providers":169,"bandwidth_gbps":170,"fp16_tflops":171,"interconnect_score":154,"parallel_efficiency":172,"score":173,"tier":174,"perf_metric":157,"perf_label":175,"perf_value":176,"workload":10,"cost_metric":177},"RTX 5070",28,48,0.0101,29.49,[148],672,61,0.6,0.5781,"cheapest","227.2 tok\u002Fs",227.2,{"effective_value":178,"effective_unit":157,"capacity_factor":162},159,{"gpu_model":180,"gpu_model_id":181,"gpu_count":43,"total_vram_gb":182,"hour_price":183,"monthly_cost":184,"providers":185,"bandwidth_gbps":186,"fp16_tflops":187,"interconnect_score":154,"parallel_efficiency":188,"score":189,"tier":156,"perf_metric":157,"perf_label":190,"perf_value":191,"workload":10,"cost_metric":192},"H200 SXM",11,1128,3.5,20440,[151],4800,989,0.4,0.2197,"2163.4 tok\u002Fs",2163.4,{"effective_value":193,"effective_unit":157,"capacity_factor":162},1514.4,{"gpu_model":195,"gpu_model_id":196,"gpu_count":39,"total_vram_gb":166,"hour_price":197,"monthly_cost":198,"providers":199,"bandwidth_gbps":200,"fp16_tflops":201,"interconnect_score":154,"parallel_efficiency":39,"score":202,"tier":174,"perf_metric":157,"perf_label":203,"perf_value":204,"workload":10,"cost_metric":205},"RTX A6000",6,0.2874,209.8,[148,151],768,77,0.6583,"108.2 tok\u002Fs",108.2,{"effective_value":206,"effective_unit":157,"capacity_factor":162},75.7,[],false,23,"value",[212,216,224,232,239],{"name":195,"vram_gb":166,"cheapest_hour":197,"cost":213,"provider":148,"estimated_tps":204},{"hourly":197,"daily":214,"monthly":198,"yearly":215},6.9,2517.62,{"name":217,"vram_gb":104,"cheapest_hour":218,"cost":219,"provider":148,"estimated_tps":223},"RTX 5090",0.337,{"hourly":218,"daily":220,"monthly":221,"yearly":222},8.09,246.01,2952.12,252.4,{"name":225,"vram_gb":166,"cheapest_hour":226,"cost":227,"provider":148,"estimated_tps":231},"L40S",0.4004,{"hourly":226,"daily":228,"monthly":229,"yearly":230},9.61,292.29,3507.5,121.7,{"name":233,"vram_gb":166,"cheapest_hour":234,"cost":235,"provider":148,"estimated_tps":40},"RTX PRO 6000 WS",0.6689,{"hourly":234,"daily":236,"monthly":237,"yearly":238},16.05,488.3,5859.56,{"name":240,"vram_gb":166,"cheapest_hour":241,"cost":242,"provider":148,"estimated_tps":40},"RTX PRO 6000 S",0.7339,{"hourly":241,"daily":243,"monthly":244,"yearly":245},17.61,535.75,6428.96,{"posts_count":40,"benchmarks_count":40}]