《Deepseek R1 本地部署完全⼿册》 版权归：HomeBrew Ai Club 作者wechat：samirtan 版本：V2.0 更新⽇期：2025年2⽉8⽇ ⼀、简介 Deepseek R1 是⽀持复杂推理、多模态处理、技术⽂档⽣成的⾼性能通⽤⼤语⾔模型。本⼿册 为技术团队提供完整的本地部署指南，涵盖硬件配置、国产芯⽚适配、量化⽅案、云端替代⽅ 国内⽣态合作伙伴动态 企业 适配内容 性能对标（vs NVIDIA） 华为昇 腾 昇腾910B原⽣⽀持R1全系列，提供端到端推理优化 ⽅案 等效A100（FP16） 沐曦 GPU MXN系列⽀持70B模型BF16推理，显存利⽤率提升 30% 等效RTX 3090 海光 DCU 适配V3/R1模型，性能对标NVIDIA A100 等效A100（BF16） 2. 国产硬件推荐配置 模型参数 推荐⽅案 /swapfile sudo swapon /swapfile 七、附录：技术⽀持与资源 华为昇腾：昇腾云服务 沐曦GPU：免费API体验 李锡涵博客：完整部署教程 结语 Deepseek R1 的本地化部署需极⾼的硬件投⼊与技术⻔槛，个⼈⽤户务必谨慎，企业⽤户应充 分评估需求与成本。通过国产化适配与云端服务，可显著降低⻛险并提升效率。技术⽆⽌境， 理性规划⽅能降本增效！ ⼿册更新与反

R5,R2 MOV R6,R3 BL _Z9terminateP2HRP6Salary MOV R1,R5 MOV R0,R4 BL _Z9terminateP2HRP6Hourly MOV R1,R6 MOV R0,R4 POP {R4‐R6,LR} B _Z9terminateP2HRP4Temp R2 MOV R6,R3 BL _ZN2HR9terminateEP6Salary MOV R1,R5 MOV R0,R4 BL _ZN2HR9terminateEP6Hourly MOV R1,R6 MOV R0,R4 POP {R4‐R6,LR} B _ZN2HR9terminateEP4Temp into "this" register LDR R1,[R4, #+0] # get bp‐>vptr LDR R1,[R1, #+0] # get vptr[0] (member function address) MOV LR,PC # set return link BX R1 # call member function

平衡性能：在模型大小和 性能之间取得平衡，适合 中等规模任务。  多模态支持：支持文本和 图像处理，扩展应用场景。  可解释性：注重模型输出 的可解释性和透明性。 DeepSeek R1  高效推理：专注于低延迟和 高吞吐量，适合实时应用。  轻量化设计：模型结构优化， 资源占用少，适合边缘设备 和移动端。  多任务支持：支持多种任务， 如文本生成、分类和问答。 码运行后生成文件，但数 据采集结果为空。 DeepSeek R1 能够提取所有网址并进行 筛选、去重，所撰写代码 运行后完成数据爬虫任务， 所获取数据准确，少量数 据有所遗漏。 提示词 测试结果受到数据样本、测试环境、AI抽卡、提示词模板等因素影响，仅供参考，无法作为决策制定、质量评估或产品验证的最终依据。 爬虫数据采集  目前DeepSeek R1、Open AI o3mini、Kimi k1 四个模型均能根据上传的网页代码，对多个网址链接进行筛选、去重，完全提取出符合指令要求的所有网址链接并形成列表；  在复杂爬虫任务上，DeepSeek R1与Open AI o3min生成的代码均能正常执行数据采集任务，o3响应速度更快，R1数据采集结果更加完 整准确；其他2个模型都存在多次调试但代码仍然运行不成功的问题，如代码中罗列URL不全、输出文本中提取数据为空等。 Kimi k1.5

828c <__cxa_allocate_exception> 8014: 2305 movs r3, #5 8016: 4902 ldr r1, [pc, #8] 8018: 6003 str r3, [r0, #0] 801a: 2200 movs r2, #0 801c: Additional parameters will be passed on the stack if the inputs exceed what can be passed in the registers R1 R2 R3 R4 Preserved Registers: Must be restored before a subroutine returns. On function entry: Needed 0x3FD0 obj[2/3] 0x3FCC obj[3/3] 0x3FC8 bar()+14 0x3FC4 [bar] r4 Virtual ARM CPU Reg Value R0 XXXX R1 XXXX R2 XXXX R3 XXXX R4 ? R5 ? R6 – R7 – R8 – R9 – R10 – R11 – R12 – R13/SP ? R14/LR

locations. ● r1 and r2 denote (not-address-taken) locals (“registers”). ● All shared locations are presumed to be initially zero, null, or false, unless stated otherwise. ● r1 =rlx x abbreviates r1 = x.l =rlx r1 abbreviates x.store(r1, std::memory_order_relaxed) Notation and conventionsProprietary + Confidential atomic x(0), y(0); Must be allowed // y = x; int r1 =rlx x; y =rlx r1; // 1: Thread 2: 7 r1 = r2 = 42 is fine! reads from reads fromProprietary + Confidential atomic x(0), y(0); OOTA: Should be disallowed // y = x; int r1 =rlx x; y =rlx r1; // x = y; int

Type Systems for Memory Safety (borretti.me) let num = 5; let r1 = &num as *const i32; let r2 = # unsafe { println!("r1 is: {}", *r1); println!("r2 is: {}", r2); }Building a safe subset from scratch Type Systems for Memory Safety (borretti.me) let num = 5; let r1 = &num as *const i32; let r2 = # unsafe { println!("r1 is: {}", *r1); println!("r2 is: {}", r2); }Building a safe subset from scratch Type Systems for Memory Safety (borretti.me) let num = 5; let r1 = &num as *const i32; let r2 = # unsafe { println!("r1 is: {}", *r1); println!("r2 is: {}", r2); }Building a safe subset from scratch

typename R1> using MappingFunction = R1 (*)(const T1&); template R1> std::vector<R1> Map(const std::vector sourceList, MappingFunctionR1> mappingFunc) { std::vector<R1> mappedList; typename R1> using MappingFunction = R1 (*)(const T1&); template R1> std::vector<R1> Map(const std::vector sourceList, MappingFunctionR1> mappingFunc) { std::vector<R1> mappedList; typename R1> using MappingFunction = R1 (*)(const T1&); template R1> std::vector<R1> Map(const std::vector sourceList, MappingFunctionR1> mappingFunc) { std::vector<R1> mappedList;

through this topic, we will build up the network piece by piece, so that you see how the organizations R1, R2, R3 and R4 contribute infrastructure to the network to help form it. This infrastructure implements consume the ledger and smart contract services provided by the blockchain network. Four organizations, R1, R2, R3 and R4 have jointly decided, and written into an agreement, that they will set up and exploit perform business transactions on the network. R1 and R2 have a need for a private communications within the overall network, as do R2 and R3. Organization R1 has a client application that can perform business

through this topic, we will build up the network piece by piece, so that you see how the organizations R1, R2, R3 and R4 contribute infrastructure to the network to help form it. This infrastructure implements Chapter 4. Key Concepts hyperledger-fabricdocs Documentation, Release master Four organizations, R1, R2, R3 and R4 have jointly decided, and written into an agreement, that they will set up and exploit perform business transactions on the network. R1 and R2 have a need for a private communications within the overall network, as do R2 and R3. Organization R1 has a client application that can perform business