官方模型技术参数

直接来自每个模型的 config.json,不是二手数据。 这些参数决定能不能跑、要多少显存、上下文多长。

几个值得注意的。 V4 系列的 max_position_embeddings 是 1,048,576 —— 这就是「百万上下文」的来源, 不是宣传口径而是配置里的实际值。V4-Flash 只有 43 层,比 V4-Pro 的 61 层小,所以便宜。
模型层数隐藏维度上下文词表结构
DeepSeek-V4-Flash434,0961,048,576(1M)129,280MoE
DeepSeek-V4-Flash-0731434,0961,048,576(1M)129,280MoE
DeepSeek-V4-Flash-Base434,0961,048,576(1M)129,280MoE
DeepSeek-V4-Flash-DSpark434,0961,048,576(1M)129,280MoE
DeepSeek-V4-Flash-Vision-Exp434,0961,048,576(1M)129,280MoE
DeepSeek-V4-Pro617,1681,048,576(1M)129,280MoE
DeepSeek-V4-Pro-0813617,1681,048,576(1M)129,280MoE
DeepSeek-V4-Pro-Base617,1681,048,576(1M)129,280MoE
DeepSeek-V4-Pro-DSpark617,1681,048,576(1M)129,280MoE
dspark_gemma4_12b_block753,840262,144262,144Dense
DeepSeek-Coder-V2-Base605,120163,840102,400MoE
DeepSeek-Coder-V2-Instruct605,120163,840102,400MoE
DeepSeek-Coder-V2-Instruct-0724605,120163,840102,400MoE
DeepSeek-Coder-V2-Lite-Base272,048163,840102,400MoE
DeepSeek-Coder-V2-Lite-Instruct272,048163,840102,400MoE
DeepSeek-Math-V2617,168163,840129,280MoE
DeepSeek-Prover-V2-671B617,168163,840129,280MoE
DeepSeek-R1617,168163,840129,280MoE
DeepSeek-R1-0528617,168163,840129,280MoE
DeepSeek-R1-Zero617,168163,840129,280MoE
DeepSeek-V2605,120163,840102,400MoE
DeepSeek-V2-Chat605,120163,840102,400MoE
DeepSeek-V2-Chat-0628605,120163,840102,400MoE
DeepSeek-V2-Lite272,048163,840102,400MoE
DeepSeek-V2-Lite-Chat272,048163,840102,400MoE
DeepSeek-V2.5605,120163,840102,400MoE
DeepSeek-V2.5-1210605,120163,840102,400MoE
DeepSeek-V3617,168163,840129,280MoE
DeepSeek-V3-0324617,168163,840129,280MoE
DeepSeek-V3-Base617,168163,840129,280MoE
DeepSeek-V3.1617,168163,840129,280MoE
DeepSeek-V3.1-Base617,168163,840129,280MoE
DeepSeek-V3.1-Terminus617,168163,840129,280MoE
DeepSeek-V3.2617,168163,840129,280MoE
DeepSeek-V3.2-Exp617,168163,840129,280MoE
DeepSeek-V3.2-Exp-Base617,168163,840129,280MoE
DeepSeek-V3.2-Speciale617,168163,840129,280MoE
DeepSeek-R1-0528-Qwen3-8B364,096131,072151,936Dense
DeepSeek-R1-Distill-Llama-70B808,192131,072128,256Dense
DeepSeek-R1-Distill-Llama-8B324,096131,072128,256Dense
DeepSeek-R1-Distill-Qwen-1.5B281,536131,072151,936Dense
DeepSeek-R1-Distill-Qwen-14B485,120131,072152,064Dense
DeepSeek-R1-Distill-Qwen-32B645,120131,072152,064Dense
DeepSeek-R1-Distill-Qwen-7B283,584131,072152,064Dense
DeepSeek-Prover-V2-7B304,09665,536102,400Dense
dflash_qwen3_4b_block752,56040,960151,936Dense
dflash_qwen3_8b_block754,09640,960151,936Dense
dspark_qwen3_14b_block755,12040,960151,936Dense
dspark_qwen3_4b_block752,56040,960151,936Dense
dspark_qwen3_8b_block754,09640,960151,936Dense
deepseek-coder-1.3b-base242,04816,38432,256Dense
deepseek-coder-1.3b-instruct242,04816,38432,256Dense
deepseek-coder-33b-base627,16816,38432,256Dense
deepseek-coder-33b-instruct627,16816,38432,256Dense
deepseek-coder-5.7bmqa-base324,09616,38432,256Dense
deepseek-coder-6.7b-base324,09616,38432,256Dense
deepseek-coder-6.7b-instruct324,09616,38432,256Dense
DeepSeek-OCR121,2808,192129,280MoE
DeepSeek-OCR-2121,2808,192129,280MoE
DeepSeek-Prover-V1304,0964,096102,400Dense
DeepSeek-Prover-V1.5-Base304,0964,096102,400Dense
DeepSeek-Prover-V1.5-RL304,0964,096102,400Dense
DeepSeek-Prover-V1.5-SFT304,0964,096102,400Dense
ESFT-gate-code-lite272,0484,096102,400MoE
ESFT-gate-intent-lite272,0484,096102,400MoE
ESFT-gate-law-lite272,0484,096102,400MoE
ESFT-gate-math-lite272,0484,096102,400MoE
ESFT-gate-summary-lite272,0484,096102,400MoE
ESFT-gate-translation-lite272,0484,096102,400MoE
ESFT-token-code-lite272,0484,096102,400MoE
ESFT-token-intent-lite272,0484,096102,400MoE
ESFT-token-law-lite272,0484,096102,400MoE
ESFT-token-math-lite272,0484,096102,400MoE
ESFT-token-summary-lite272,0484,096102,400MoE
ESFT-token-translation-lite272,0484,096102,400MoE
ESFT-vanilla-lite272,0484,096102,400MoE
deepseek-coder-7b-base-v1.5304,0964,096102,400Dense
deepseek-coder-7b-instruct-v1.5304,0964,096102,400Dense
deepseek-llm-67b-base958,1924,096102,400Dense
deepseek-llm-67b-chat958,1924,096102,400Dense
deepseek-llm-7b-base304,0964,096102,400Dense
deepseek-llm-7b-chat304,0964,096102,400Dense
deepseek-math-7b-base304,0964,096102,400Dense
deepseek-math-7b-instruct304,0964,096102,400Dense
deepseek-math-7b-rl304,0964,096102,400Dense
deepseek-moe-16b-base282,0484,096102,400MoE
deepseek-moe-16b-chat282,0484,096102,400MoE

怎么用这张表

你要判断看哪列
显存够不够层数 × 隐藏维度(越大越吃显存)
能不能塞下长文档上下文
是不是 MoE(稀疏激活)结构列
词表大小影响嵌入层词表

说明

数据来自 Hugging Face 模型卡里的 config.json,每周刷新。 参数量(总参数/激活参数)官方公布的口径与配置不同,这里只给配置里的确定值。

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