--- tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:3221 - loss:MultipleNegativesRankingLoss base_model: BAAI/bge-small-en widget: - source_sentence: • 2 x AMD EPYC 7763 64-core processors sentences: - 'QuickSpecs HPE Cray XD670 Configuration Information DA - 16896   Worldwide QuickSpecs — Version 16 — 10/7/2024 Page  22' - 'HPE 1.8TB SAS 12G Mission Critical 10K SFF SC 3-year Warranty 512e Multi Vendor HDD 872481-H21 Hard Drive Blank Kits   HPE Small Form Factor Hard Drive Blank Kit 666987-B21 Notes: Hard Drives require the selection of appropriate Drive Cage.     SSD Selection To streamline the configuration process for HPE ProLiant Gen10 servers and to provide the best product availability, HPE recommends SSDs from the list located here: http://www.hpe.com/products/recommend .   All SSD options listed are compatible on both the XL675d and XL645d servers, except where explicitly marked. Read Intensive - 12G SAS - SFF - Solid State Drives   HPE 960GB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P36997-H21 HPE 1.92TB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P36999-H21 HPE 3.84TB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P37001-H21 HPE 7.68TB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P37003-H21 Mixed Use - 12G SAS - SFF - Solid State Drives   HPE 960GB SAS 12G Mixed Use SFF SC Value SAS Multi Vendor SSD P37005-H21 HPE 1.92TB SAS 12G Mixed Use SFF SC Value SAS Multi Vendor SSD P37011-H21 HPE 3.84TB SAS 12G Mixed Use SFF SC Value SAS Multi Vendor SSD P37017-H21 Mixed Use - 6G SATA - SFF - Solid State Drives   HPE 480GB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18432-H21 HPE 960GB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18434-H21 HPE 1.92TB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18436-H21 HPE 3.84TB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18438-H21 Read Intensive - 6G SATA - SFF - Solid State Drives   HPE 240GB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18420-H21 HPE 480GB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18422-H21 HPE 960GB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18424-H21 HPE 1.92TB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18426-H21 HPE 3.84TB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18428-H21 HPE 7.68TB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18430-H21   Read Intensive - NVMe - SFF - Solid State Drives   HPE 480GB NVMe Gen3 Mainstream Performance Read Intensive M.2 Multi Vendor SSD P40513-H21 HPE 960GB NVMe Gen3 Mainstream Performance Read Intensive M.2 Multi Vendor SSD P40514-H21 HPE 1.92TB NVMe Gen3 Mainstream Performance Read Intensive M.2 Multi Vendor SSD P40515-H21 HPE 3.84TB NVMe Gen4 Mainstream Performance Read Intensive SFF SC U.3 Static V2 Multi Vendor SSD P64845-H21 HPE 480GB NVMe Gen4 Mainstream Performance Read Intensive M.2 PM9A3 SSD P69543-H21 Mixed Use - NVMe - SFF - Solid State Drives   HPE 1.6TB NVMe Gen4 Mainstream Performance Mixed Use SFF SC U.3 Static V2 Multi Vendor SSD P65003-H21 QuickSpecs HPE Apollo 6500 Gen10 Plus System Additional Options DA - 16700   Worldwide QuickSpecs — Version 25 — 6/3/2024 Page  45' - 'Intel Xeon-Gold 6434 3.7GHz 8-core 195W Processor Kit for HPE Cray XD P56395- B21 Intel Xeon-Gold 5415+ 2.9GHz 8-core 150W Processor Kit for HPE Cray XD P56391- B21   Notes: − "HPE Cray XD220v CPU 1 Rear FIO Heat Sink Kit" (P49855-B21) must be ordered for 1st Processor. − "HPE Cray XD220v CPU 2 Front Heat Sink Kit" (P49854-B21) must be ordered for 2nd Processor.' - source_sentence: '- 2 x 16 GB DDR4-2933-MHz memory modules' sentences: - 'HPE Performance Cluster Manager 1 Node 3yr 24x7 Support Perpetual LTU Q9V60A Notes: − One license per node. − Includes three years of support. − This is a perpetual license. The software will continue working even when the support term ends. HPE Performance Cluster Manager FIO Software Q9V61A Notes: − This SKU does not include the license. Please order with Q9V60AAE. − Order one per node HPE Performance Cluster Manager Media Kit Q9V62A Notes: One media kit per solution.     HPE Power Distribution Units Power Distribution Units (PDUs) are an integral piece to this data center solution and HPE offers several types. Basic PDUs provide reliable power with 0U or 1U installation options. Metered PDUs have added intelligence to precisely track power usage and switched PDUs provide both local and remote power management. There are additional metered PDUs that are recommended for this solution that are not part of the mainstream PDU product offering. They are as follows: HPE Switched 3-phase 66.5kVA/60309 5-wire 100A/277V 21-breaker Vertical NA PDU R8P19A HPE Metered 3Ph 66.5kVA/60309 100A 5-wire 480/277V Outlets (21) SDG23/Vertical NA PDU 879034-B21 HPE Metered 3Ph 39.9kVA/60309 60A 5-wire 480/277V Outlets (21) SDG23/Vertical NA PDU   880459-B21 HPE Metered 3Ph 57.6kVA/60309 100A 5-wire 80A/230V Outlets (3) C13 (18) C19/Vertical NA PDU 880460-B21 HPE Metered 3Ph 34.5kVA/60309 60A 5-wire 48A/230V Outlets (3) C13 (18) C19/Vertical NA FIO PDU 880461-B21 HPE Cray Supercomputer 60A 415V 3 Phase 24 CX PDU R4N30A HPE Mtrd 3P 69.1kVA 125A 96A230V FIO PDU 880462-B21 HPE Metered 3Ph 45.1kVA/60309 63A 5-wire 63A/230V Outlets (3) C13 (18) C19/Vertical INTL FIO PDU 880463-B21 HPE Cray Supercomputer 63A 400V 3 Phase 24 CX PDU   R4N29A HPE G2 Metered/Switched 3Ph 17.3kVA/60309 4-wire 48A/208V Out (12) C13 (12) C19/Vertical NA/JP PDU P9S22A HPE G2 Metered 3Ph 17.3kVA/60309 60A 4-wire 48A/208V Outlets (12) C13 (12) C19/Vertical NA/JP PDU P9R86A HPE G2 Metered Modular 3Ph 17.3kVA/60309 60A 4-wire 48A/208V Outlets (6) C19/1U Horizontal NA/JP PDU P9R80A QuickSpecs HPE Cray XD2000 Configuration Information DA - 16905   Worldwide QuickSpecs — Version 20 — 10/7/2024 Page  28' - 'World''s most secure industry standard server using HPE iLO5   HPE ProLiant XL675d Gen10 Plus - Front Panel View 1. Serial number / iLO Information pull tab 4. Chassis front door lever button 2. Power Switch module 5. Drive Box 2 3. Drive Box 1 6. Dedicated iLO management port   QuickSpecs HPE Apollo 6500 Gen10 Plus System Overview DA - 16700   Worldwide QuickSpecs — Version 25 — 6/3/2024 Page  2' - '8SFF Front View - 8 SFF + optional Universal Media Bay, optical Drive, Display Port, USB2.0, and SATA Drive shown       1. Quick removal access panel 9. Health LED   2. Serial number/iLO information pull tab 10. NIC Status 1   3. Display Port (optional - shown) 11. Unit ID Button/LED   4. Universal Media Bay (optional): 12. USB 3.2 Gen1 port     Option1: Optical drive bay + Display port & USB 2.0 port kit (shown) 13. Drive bays; backplanes options     Option1: 8SFF x1 Tri-Mode 24G U.3 BC Backplane  Option2: 2 SFF x4 Tri-Mode 24G U.3 BC Drive Cage   5. USB 3.2 Gen1 port (optional - shown)   Option2: 8SFF x4 Tri-Mode 24G U.3 BC Backplane   6. Optical Drive (optional- shown) 7. iLO Service Port 14. Drive support label 8. Power On / Standby button and system power LED       Notes: 1 Front NIC LED display doesn''t support NIC LED ACT/LINK indication from ALOM/PCIE/FLOM NIC''s   12 LFF Front View - 12 LFF + SAS drives shown       1. Serial number/iLO information pull tab 6. NIC Status 1   2. USB 3.2 Gen1 Port 7. Unit ID Button/LED   3. iLO Service Port 8. SAS/SATA drive bays   QuickSpecs HPE ProLiant DL320 Gen11 Overview DA - 16919   Worldwide QuickSpecs — Version 28 — 10/7/2024 Page  2' - source_sentence: '* 2 x PCIe x4 slots for HPE iLO 5 management per node' sentences: - "HPE ProLiant XL645d System Block Diagrams - PCIe GPU Configuration \n \nQuickSpecs\n\ HPE Apollo 6500 Gen10 Plus System\nStandard Features\nDA - 16700   Worldwide QuickSpecs\ \ — Version 25 — 6/3/2024\nPage  18" - 'Date Version History Action Description of Change 03-Jun-2024 Version 24 Changed Additional Options section was updated. Obsolete SKUs were removed 04-Mar-2024 Version 23 Changed Configuration Information section was updated Obsolete SKUs were removed 04-Dec-2023 Version 22 Changed Configuration Information section was updated Obsolete SKUs were removed 06-Nov-2023 Version 21 Changed Configuration Information section was updated Obsolete SKUs were removed 05-Sep-2023 Version 20 Changed Configuration Information section was updated Obsolete SKUs were removed 10-Jul-2023 Version 19 Changed Standard Features section was updated. 20-Jun-2023 Version 18 Changed Overview section was updated 03-Apr-2023 Version 17 Changed Optional Features and Configuration Information sections were updated 06-Feb-2023 Version 16 Changed Overview and Configuration Information sections were updated 05-Dec-2022 Version 15 Changed Core Options section was updated 07-Nov-2022 Version 14 Changed Configuration Information section was updated Obsolete SKUs were removed 01-Aug-2022 Version 13 Changed Configuration Information section was updated 05-Jul-2022 Version 12 Changed Configuration Information section was updated Obsolete SKUs were removed 16-May-2022 Version 11 Changed Configuration Information section was updated Obsolete SKUs were removed 21-Mar-2022 Version 10 Changed Standard Features and Configuration Information were removed. 07-Feb-2022 Version 9 Changed Configuration Information section was updated 10-Jan-2022 Version 8 Changed Additional Options section was updated. Obsolete SKUs were removed 01-Nov-2021 Version 7 Changed Added Software Development Tools Overview, Standard features and Additional Options sections were updated. Obsolete SKUs were removed 07-Sep-2021 Version 6 Changed Additional Options section was updated. Obsolete SKUs were removed 02-Aug-2021 Version 5 Changed Obsolete SKUs were removed 04-May-2021 Version 4 Changed Overview, Standard Features, Optional Features, Configuration Information and Additional Options were removed. 06-Apr-2021 Version 3 Changed Standard Features, Configuration Information, Additional Options and Technical Specifications sections were updated. 01-Feb-2021 Version 2 Changed Overview, Standard Features, Configuration Information, Additional Options and Technical Specifications sections were updated. Obsolete SKUs were removed QuickSpecs HPE Apollo 6500 Gen10 Plus System Summary of Changes DA - 16700   Worldwide QuickSpecs — Version 25 — 6/3/2024 Page  52' - 'Storage Controller Cable Kits HPE XL22xn Gen10+ E208ip/P408ip Cbl Kit HPE XL225n Gen10+ SATA Cbl Kit Notes: By default, Embedded Controller will work in AHCI Mode. If "P28417-B21 - HPE SR100i Gen10+ Software RAID" is selected, then Embedded Controller will work in SR100i Mode. Maximum Internal StoragePer node Drive Capacity Configuration Hot Plug SFF SATA SSD 46TB 6 x 7.68TB Hot Plug SFF SAS SSD 91TB 6 x 15.3TB Hot Plug NVMe SSD (AMD) 30TB 2x 15.3TB Hot Plug NVMe SSD (Intel) 92TB 6x 15.3TB   Notes: NVMe is x2 for Intel Internal Storage Devices Optional USB Mezz Riser Kit   Interfaces KVM Serial USB Video Port (SUV) USB Ports 3 external USB ports via SUV (2 regular USB, 1 USB management); 1 USB 3.2 Gen1 Type A Port (external) HPE iLO Remote Management Network Port NIC/Shares iLO network port (AMD only) Separate NIC and iLO ports on Intel node Health LED 1 Power 1 UID 1 Do not remove LED 1 Industry Standard Compliance ACPI 6.3 Compliant PCIe 4.0 Compliant WOL Support Microsoft® Logo certifications PXE Support USB 3.0 Compliant (internal); USB 2 .0 compliant (external ports via SUV) SMBIOS 3.2 UEFI 2.8 Redfish API European Union Erp Lot 9 Regulation European Union (EU) eco-design regulations for server and storage products, known as Lot 9, establishes power thresholds for idle state, as well as efficiency and performance in active state which vary among configurations. HPE ProLiant Gen10 Plus servers QuickSpecs HPE Apollo 2000 Gen10 Plus System Standard Features DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024 Page  14' - source_sentence: What type of processors are supported by the HPE Cray XD665 System? sentences: - 'HPE Cray XD675 Server Top View Item Description     1. 8x AMD MI300X OAM Accelerator       QuickSpecs HPE Cray XD675 Overview DA - 17239   Worldwide QuickSpecs — Version 4 — 8/19/2024 Page  2' - 'HPE Cray XD665 HPE is bringing the power of supercomputing to datacenters of any size with the HPE Cray XD665 System . HPE Cray XD665 System is a top-performing GPU-accelerated server, delivering mixed-HPC/AI workload solutions to rack-scale, in a rack and roll fashion.   HPE Cray XD665 System is a 4U chassis system that contains a single 2x CPU node with 4x Nvidia H100 Tensor Core SXM5 GPUs. It offers a complete, scalable solution for AI & HPC customers everywhere, with flexibility of fabric, memory, storage and operating system. HPE Cray XD665 System provides maximum performance for advanced HPC Simulations, AI Training and Deep Learning.   Built with Exascale-ready networking technologies, integrated storage, extensive software portfolio and management tools, HPE Cray XD665 Systems can enable customers to innovate and prepare for tomorrow''s challenges. HPE Cray XD665 Server System Key Features 4U Single-Node Chassis (Air & Liquid-Cooled) GPUs: 4x NVIDIA® H100 Tensor Core SXM5 GPUs providing leadership performance for AI Training, Deep Learning and advanced HPC simulations. PCIe GPUs are not supported on Cray XD665. CPUs: Support for 4 th Generation AMD® EPYC® Scalable Processors: "Genoa" DRAM: Support for up to 24x DDR5 4800MT/s DIMMs High-Speed Fabric: 5x PCIe Gen 5.0 Half-Height, Half-Length slots supporting Slingshot 11, Infiband NDR and Ethernet, providing direct switchable connections between High-Speed Fabric, GPUs, NVMe drives and CPUs. Storage: Up to 8 SFF NVME U.3 and 2 M.2 RAID SSDs Power Supplies: 6x 3,000-Watt capacity per server system, providing full N+N redundancy. PCIe Expansion: 1x HHHL PCIe 5.0, 1x OCP 3.0 expansion slot with embedded 2-port 10G Base-T (RJ45), 1 1GbE NIC, 1x BMC Port, 1x VGA, 1x USB3.0, PWR Button/Reset/ID Button/Status LEDs   NVIDIA and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. All third-party marks are the property of their respective owners.   AMD and EPYC are trademarks and/or registered trademarks of Advanced Micro Devices, Inc. in the U.S. and other countries. All third-party marks are property of their respective owners   QuickSpecs HPE Cray Supercomputing XD665 System Overview DA - 17114   Worldwide QuickSpecs — Version 9 — 10/21/2024 Page  1' - "EPYC\n7543P\n32 2.8GHz 3.7GHz 2TB 225 256MB 3200MT/s\nEPYC\n7443P\n24 2.85GHs\ \ 4.0GHz 2TB 200 128 MB 3200MT/s\nEPYC\n7313P\n16 3.0GHz 3.7GHz 2TB 155 128MB\ \ 3200MT/s\nIntel Xeon \nProcessor\nCores Base\nFrequency\nMax\nFrequenc\ny\n\ Max\nMemory\nWattage Cache\n1.5MB/cor\ne\nMemory\nXeon 8380 40 2.3GHz 3.4GHz 6TB/socket\ \ 270 60MB 3200MT/s\nXeon 8368 38 2.4GHz 3.4GHz 6TB/socket 270 57MB 3200MT/s\n\ Xeon\n8360Y\n36 2.4GHz 3.5GHz 6TB/socket 250 54MB 3200MT/s\nXeon 8358 32 2.6GHZ\ \ 3.4GHz 6TB/socket 250 48MB 3200MT/s\nXeon\n8352Y\n32 2.2GHz 3.4GHz 6TB/socket\ \ 205 48MB 3200MT/s\nXeon 6354 18 3.0GHz 3.6GHz 6TB/socket 205 39MB 3200MT/s\n\ Xeon 6348 28 2.6GHz 3.5GHz 6TB/socket 235 42MB 3200MT/s\nXeon 6346 16 3.1GHz 3.6GHz\ \ 6TB/socket 205 36MB 3200MT/s\nXeon 6338 32 2.0GHz 3.2GHz 6TB/socket 205 48MB\ \ 3200MT/s\nXeon 6330 28 2.0GHZ 3.1GHz 6TB/socket 205 42MB 3200MT/s\nXeon 6342\ \ 24 2.8GHZ 3.5GHz 6TB/socket 230 36MB 3200MT/s\nXeon\n4309Y\n8 2.8GHz 3.6GHz\ \ 6TB/socket 105 12MB 3200MT/s\nXeon 4310 12 2.1GHz 3.3GHz 6TB/socket 120 18MB\ \ 3200MT/s\nXeon 4314 16 2.4GHz 3.4GHz 6TB/socket 135 24MB 3200MT/s\nXeon 4316\ \ 20 2.3GHz 3.4GHz 6TB/socket 150 30MB 3200MT/s\nXeon\n5318Y\n24 2.1GHz 3.4GHz\ \ 6TB/socket 165 36MB 3200MT/s\nXeon 5320 26 2.2GHz 3.4GHz 6TB/socket 185 39MB\ \ 3200MT/s\nXeon\n6336Y\n24 2.4GHz 3.6GHz 6TB/socket 185 36MB 3200MT/s\nXeon\n\ 5115Y\n8 3.2GHz 3.6GHz 6TB/socket 140 12MB 3200MT/s\nXeon 5317 12 3.0GHz 3.6GHZ\ \ 6TB/socket 150 18MB 3200MT/s\nXeon 6326 16 2.9GHz 3.5GHz 6TB/socket 185 24MB\ \ 3200MT/s\nXeon 6334 8 3.6GHz 3.7GHz 6TB/socket 165 18MB 3200MT/s\nChipset\n\ No Chipset - System on Chip (SoC) design\nOn System Management Chipset\nHPE iLO\ \ 5 ASIC\nRead and learn more in the iLO QuickSpecs\nQuickSpecs\nHPE Apollo\ \ 2000 Gen10 Plus System\nStandard Features\nDA - 16526   Worldwide QuickSpecs\ \ — Version 41 — 7/1/2024\nPage  9" - source_sentence: What is the website to find services for customers purchasing from a commercial reseller? sentences: - 'HPE Cray XD675 Server Top View Item Description     1. 8x AMD MI300X OAM Accelerator       QuickSpecs HPE Cray XD675 Overview DA - 17239   Worldwide QuickSpecs — Version 4 — 8/19/2024 Page  2' - 'AMD EPYC 7443P 2.85GHz 24-core 200W FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P38737-L21 AMD EPYC 7313P 3.0GHz 16-core 155W FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P38736-L21 AMD EPYC 7552 (2.2GHz/48-core/200W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24258-L21 AMD EPYC 7542 (2.9GHz/32-core/225W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24259-L21 AMD EPYC 7502 (2.5GHz/32-core/180W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24260-L21 AMD EPYC 7452 (2.35GHz/32-core/155W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24261-L21 AMD EPYC 7402 (2.8GHz/24-core/180W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24262-L21 AMD EPYC 7352 (2.3GHz/24-core/155W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24263-L21 AMD EPYC 7302 (3.0GHz/16-core/155W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24264-L21 AMD EPYC 7702P (2.0GHz/64-core/200W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24266-L21 AMD EPYC 7402P (2.8GHz/24-core/180W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24268-L21 AMD EPYC 7302P (3.0GHz/16-core/155W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24269-L21 AMD EPYC 7662 (2.0GHz/64-core/225W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24392-L21 AMD EPYC 7642 (2.3GHz/48-core/225W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24393-L21 AMD EPYC 7252 (3.1GHz/8-core/120W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P24397-L21 AMD EPYC 7F32 (3.7GHz/8-core/180W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P26686-L21 AMD EPYC 7F52 (3.5GHz/16-core/240W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P26687-L21 AMD EPYC 7F72 (3.2GHz/24-core/240W) FIO Processor Kit for HPE ProLiant XL225n Gen10 Plus P26688-L21     Intel Processors - Factory Integrated Processor Kit for XL220n & XL290n Intel Xeon-Platinum 8380 2.3GHz 40-core 270W FIO Processor Kit for HPE ProLiant XL2x0n Gen10 Plus P36816-L21 Intel Xeon-Platinum 8368 2.4GHz 38-core 270W FIO Processor Kit for HPE ProLiant XL2x0n Gen10 Plus P36815-L21 QuickSpecs HPE Apollo 2000 Gen10 Plus System Additional Options DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024 Page  33' - 'Parts and Materials HPE will provide HPE-supported replacement parts and materials necessary to maintain the covered hardware product in operating condition, including parts and materials for available and recommended engineering improvements.   Parts and components that have reached their maximum supported lifetime and/or the maximum usage limitations as set forth in the manufacturer''s operating manual, product quick-specs, or the technical product data sheet will not be provided, repaired, or replaced as part of these services.   How to Purchase Services Services are sold by Hewlett Packard Enterprise and Hewlett Packard Enterprise Authorized Service Partners: Services for customers purchasing from HPE or an enterprise reseller are quoted using HPE order configuration tools. Customers purchasing from a commercial reseller can find services at https://ssc.hpe.com/portal/site/ssc/   AI Powered and Digitally Enabled Support Experience Achieve faster time to resolution with access to product-specific resources and expertise through a digital and data driven customer experience   Sign into the HPE Support Center experience, featuring streamlined self-serve case creation and management capabilities with inline knowledge recommendations. You will also find personalized task alerts and powerful troubleshooting support through an intelligent virtual agent with seamless transition when needed to a live support agent.   https://support.hpe.com/hpesc/public/home/signin Consume IT On Your Terms HPE GreenLake edge-to-cloud platform brings the cloud experience directly to your apps and data wherever they are-the edge, colocations, or your data center. It delivers cloud services for on-premises IT infrastructure specifically tailored to your most demanding workloads. With a pay-per-use, scalable, point-and-click self- service experience that is managed for you, HPE GreenLake edge-to-cloud platform accelerates digital transformation in a distributed, edge-to-cloud world. Get faster time to market Save on TCO, align costs to business Scale quickly, meet unpredictable demand Simplify IT operations across your data centers and clouds To learn more about HPE Services, please contact your Hewlett Packard Enterprise sales representative or Hewlett Packard Enterprise Authorized Channel Partner.   Contact information for a representative in your area can be found at "Contact HPE" https://www.hpe.com/us/en/contact-hpe.html   For more information http://www.hpe.com/services QuickSpecs HPE Cray XD675 Service and Support DA - 17239   Worldwide QuickSpecs — Version 4 — 8/19/2024 Page  13' pipeline_tag: sentence-similarity library_name: sentence-transformers metrics: - cosine_accuracy@1 - cosine_accuracy@3 - cosine_accuracy@5 - cosine_accuracy@10 - cosine_precision@1 - cosine_precision@3 - cosine_precision@5 - cosine_precision@10 - cosine_recall@1 - cosine_recall@3 - cosine_recall@5 - cosine_recall@10 - cosine_ndcg@10 - cosine_mrr@10 - cosine_map@100 - dot_accuracy@1 - dot_accuracy@3 - dot_accuracy@5 - dot_accuracy@10 - dot_precision@1 - dot_precision@3 - dot_precision@5 - dot_precision@10 - dot_recall@1 - dot_recall@3 - dot_recall@5 - dot_recall@10 - dot_ndcg@10 - dot_mrr@10 - dot_map@100 model-index: - name: SentenceTransformer based on BAAI/bge-small-en results: - task: type: information-retrieval name: Information Retrieval dataset: name: Unknown type: unknown metrics: - type: cosine_accuracy@1 value: 0.4857142857142857 name: Cosine Accuracy@1 - type: cosine_accuracy@3 value: 0.8047619047619048 name: Cosine Accuracy@3 - type: cosine_accuracy@5 value: 0.861904761904762 name: Cosine Accuracy@5 - type: cosine_accuracy@10 value: 0.9095238095238095 name: Cosine Accuracy@10 - type: cosine_precision@1 value: 0.4857142857142857 name: Cosine Precision@1 - type: cosine_precision@3 value: 0.26825396825396824 name: Cosine Precision@3 - type: cosine_precision@5 value: 0.17238095238095236 name: Cosine Precision@5 - type: cosine_precision@10 value: 0.09095238095238094 name: Cosine Precision@10 - type: cosine_recall@1 value: 0.4857142857142857 name: Cosine Recall@1 - type: cosine_recall@3 value: 0.8047619047619048 name: Cosine Recall@3 - type: cosine_recall@5 value: 0.861904761904762 name: Cosine Recall@5 - type: cosine_recall@10 value: 0.9095238095238095 name: Cosine Recall@10 - type: cosine_ndcg@10 value: 0.718420116457893 name: Cosine Ndcg@10 - type: cosine_mrr@10 value: 0.6551719576719578 name: Cosine Mrr@10 - type: cosine_map@100 value: 0.6598918961837339 name: Cosine Map@100 - type: dot_accuracy@1 value: 0.4857142857142857 name: Dot Accuracy@1 - type: dot_accuracy@3 value: 0.8047619047619048 name: Dot Accuracy@3 - type: dot_accuracy@5 value: 0.861904761904762 name: Dot Accuracy@5 - type: dot_accuracy@10 value: 0.9095238095238095 name: Dot Accuracy@10 - type: dot_precision@1 value: 0.4857142857142857 name: Dot Precision@1 - type: dot_precision@3 value: 0.26825396825396824 name: Dot Precision@3 - type: dot_precision@5 value: 0.17238095238095236 name: Dot Precision@5 - type: dot_precision@10 value: 0.09095238095238094 name: Dot Precision@10 - type: dot_recall@1 value: 0.4857142857142857 name: Dot Recall@1 - type: dot_recall@3 value: 0.8047619047619048 name: Dot Recall@3 - type: dot_recall@5 value: 0.861904761904762 name: Dot Recall@5 - type: dot_recall@10 value: 0.9095238095238095 name: Dot Recall@10 - type: dot_ndcg@10 value: 0.718420116457893 name: Dot Ndcg@10 - type: dot_mrr@10 value: 0.6551719576719578 name: Dot Mrr@10 - type: dot_map@100 value: 0.6598918961837339 name: Dot Map@100 --- # SentenceTransformer based on BAAI/bge-small-en This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. ## Model Details ### Model Description - **Model Type:** Sentence Transformer - **Base model:** [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en) - **Maximum Sequence Length:** 512 tokens - **Output Dimensionality:** 384 tokens - **Similarity Function:** Cosine Similarity ### Model Sources - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) ### Full Model Architecture ``` SentenceTransformer( (0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) (2): Normalize() ) ``` ## Usage ### Direct Usage (Sentence Transformers) First install the Sentence Transformers library: ```bash pip install -U sentence-transformers ``` Then you can load this model and run inference. ```python from sentence_transformers import SentenceTransformer # Download from the 🤗 Hub model = SentenceTransformer("sentence_transformers_model_id") # Run inference sentences = [ 'What is the website to find services for customers purchasing from a commercial reseller?', 'Parts and Materials\nHPE will provide HPE-supported replacement parts and materials necessary to maintain the covered hardware\nproduct in operating condition, including parts and materials for available and recommended engineering\nimprovements. \xa0\nParts and components that have reached their maximum supported lifetime and/or the maximum usage\nlimitations as set forth in the manufacturer\'s operating manual, product quick-specs, or the technical product\ndata sheet will not be provided, repaired, or replaced as part of these services.\n\xa0\nHow to Purchase Services\nServices are sold by Hewlett Packard Enterprise and Hewlett Packard Enterprise Authorized Service Partners:\nServices for customers purchasing from HPE or an enterprise reseller are quoted using HPE order\nconfiguration tools.\nCustomers purchasing from a commercial reseller can find services at\nhttps://ssc.hpe.com/portal/site/ssc/\n\xa0\nAI Powered and Digitally Enabled Support Experience\nAchieve faster time to resolution with access to product-specific resources and expertise through a digital and\ndata driven customer experience \xa0\nSign into the HPE Support Center experience, featuring streamlined self-serve case creation and\nmanagement capabilities with inline knowledge recommendations. You will also find personalized task alerts\nand powerful troubleshooting support through an intelligent virtual agent with seamless transition when needed\nto a live support agent. \xa0\nhttps://support.hpe.com/hpesc/public/home/signin\nConsume IT On Your Terms\nHPE GreenLake edge-to-cloud platform brings the cloud experience directly to your apps and data wherever\nthey are-the edge, colocations, or your data center. It delivers cloud services for on-premises IT infrastructure\nspecifically tailored to your most demanding workloads. With a pay-per-use, scalable, point-and-click self-\nservice experience that is managed for you, HPE GreenLake edge-to-cloud platform accelerates digital\ntransformation in a distributed, edge-to-cloud world.\nGet faster time to market\nSave on TCO, align costs to business\nScale quickly, meet unpredictable demand\nSimplify IT operations across your data centers and clouds\nTo learn more about HPE Services, please contact your Hewlett Packard Enterprise sales representative or\nHewlett Packard Enterprise Authorized Channel Partner. \xa0 Contact information for a representative in your area\ncan be found at "Contact HPE" https://www.hpe.com/us/en/contact-hpe.html \xa0\nFor more information\nhttp://www.hpe.com/services\nQuickSpecs\nHPE Cray XD675\nService and Support\nDA - 17239\xa0\xa0\xa0Worldwide QuickSpecs — Version 4 — 8/19/2024\nPage\xa0 13', 'HPE Cray XD675 Server Top View\nItem Description \xa0 \xa0\n1. 8x AMD MI300X OAM Accelerator \xa0 \xa0\n\xa0\nQuickSpecs\nHPE Cray XD675\nOverview\nDA - 17239\xa0\xa0\xa0Worldwide QuickSpecs — Version 4 — 8/19/2024\nPage\xa0 2', ] embeddings = model.encode(sentences) print(embeddings.shape) # [3, 384] # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] ``` ## Evaluation ### Metrics #### Information Retrieval * Evaluated with [InformationRetrievalEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) | Metric | Value | |:--------------------|:-----------| | cosine_accuracy@1 | 0.4857 | | cosine_accuracy@3 | 0.8048 | | cosine_accuracy@5 | 0.8619 | | cosine_accuracy@10 | 0.9095 | | cosine_precision@1 | 0.4857 | | cosine_precision@3 | 0.2683 | | cosine_precision@5 | 0.1724 | | cosine_precision@10 | 0.091 | | cosine_recall@1 | 0.4857 | | cosine_recall@3 | 0.8048 | | cosine_recall@5 | 0.8619 | | cosine_recall@10 | 0.9095 | | cosine_ndcg@10 | 0.7184 | | cosine_mrr@10 | 0.6552 | | **cosine_map@100** | **0.6599** | | dot_accuracy@1 | 0.4857 | | dot_accuracy@3 | 0.8048 | | dot_accuracy@5 | 0.8619 | | dot_accuracy@10 | 0.9095 | | dot_precision@1 | 0.4857 | | dot_precision@3 | 0.2683 | | dot_precision@5 | 0.1724 | | dot_precision@10 | 0.091 | | dot_recall@1 | 0.4857 | | dot_recall@3 | 0.8048 | | dot_recall@5 | 0.8619 | | dot_recall@10 | 0.9095 | | dot_ndcg@10 | 0.7184 | | dot_mrr@10 | 0.6552 | | dot_map@100 | 0.6599 | ## Training Details ### Training Dataset #### Unnamed Dataset * Size: 3,221 training samples * Columns: sentence_0 and sentence_1 * Approximate statistics based on the first 1000 samples: | | sentence_0 | sentence_1 | |:--------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------| | type | string | string | | details | | | * Samples: | sentence_0 | sentence_1 | |:-----------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | What is the maximum number of Apollo n2X00 series chassis that can fit in a 42U rack? | HPE Apollo 2000 Gen10 Plus System  
HPE is bringing the power of supercomputing to datacenters of any size with the Apollo 2000 Gen10 Plus
system.  
The HPE Apollo 2000 Gen10 Plus System is a dense, multi-server platform that packs incredible
performance and workload flexibility into a small datacenter space, while delivering the efficiencies of a
shared infrastructure. It is designed to provide a bridge to scale-out architecture for traditional data centers,
so enterprise and SME customers can achieve the space-saving value of density-optimized infrastructure in a
cost-effective and non-disruptive manner.  
The Apollo 2000 Gen10 Plus offers a density optimized, shared infrastructure with a flexible scale-out
architecture to support a variety of workloads from remote site systems to large HPC clusters and everything
in between. HPE iLO5 provides built-in firmware-level server security with silicon root of trust. It can be
deployed cost-effectively starting with a single 2U, shared infrastructure chassis and configured with a variety
of storage options to meet the configuration needs of a wide variety of scale-out workloads.
 
The Apollo 2000 Gen10 Plus System delivers up to four times the density of a traditional rack mount server
with up to four ProLiant Gen10 Plus independent servers per 2U mounted in standard racks with rear-aisle
serviceability access. A 42U rack fits up to 20 Apollo n2X00 series chassis accommodating up to 80 servers
per rack.
What's New  
Support for up to four Xilinx Alveo U50 single wide  GPU's  in XL290n node.
Enables a robust stack of Intel 3 rd generation Xeon Scalable Processors to increase your power density
and increase datacenter efficiency. Intel AVX-512 * feature increases memory bandwidth, improves
frequency management to enable greater performance. Also Speed Select Technology (SST) allows
Core count and frequency flexibility *
The Direct Liquid Cooling (DLC) option for the Apollo 2000 Gen10 Plus System comes ready to plug and
play. Choose from either CPU only or CPU plus memory cooling options.
Enables flexible choices with Intel 3 rd Generation Xeon Scalable Processors and AMD 2 nd and 3 rd
generation EPYC Processors
New flexible infrastructure offers multiple storage options, 8 memory channels and 3200 MT/s memory,
PCIe Gen4 and support for processors over 250W for improved application performance.
Complete software portfolio for all customer workloads, for node to rack management, including
comprehensive integrated cluster management software
Secure from the start with firmware anchored into silicon with iLO5 and silicon root of trust for the
highest level of system security  
Notes: *Available on select processors
 
QuickSpecs
HPE Apollo 2000 Gen10 Plus System
Overview
DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024
Page  1 | | What is the maximum number of independent servers that can be mounted in a single 2U Apollo 2000 Gen10 Plus System chassis? | HPE Apollo 2000 Gen10 Plus System  
HPE is bringing the power of supercomputing to datacenters of any size with the Apollo 2000 Gen10 Plus
system.  
The HPE Apollo 2000 Gen10 Plus System is a dense, multi-server platform that packs incredible
performance and workload flexibility into a small datacenter space, while delivering the efficiencies of a
shared infrastructure. It is designed to provide a bridge to scale-out architecture for traditional data centers,
so enterprise and SME customers can achieve the space-saving value of density-optimized infrastructure in a
cost-effective and non-disruptive manner.  
The Apollo 2000 Gen10 Plus offers a density optimized, shared infrastructure with a flexible scale-out
architecture to support a variety of workloads from remote site systems to large HPC clusters and everything
in between. HPE iLO5 provides built-in firmware-level server security with silicon root of trust. It can be
deployed cost-effectively starting with a single 2U, shared infrastructure chassis and configured with a variety
of storage options to meet the configuration needs of a wide variety of scale-out workloads.
 
The Apollo 2000 Gen10 Plus System delivers up to four times the density of a traditional rack mount server
with up to four ProLiant Gen10 Plus independent servers per 2U mounted in standard racks with rear-aisle
serviceability access. A 42U rack fits up to 20 Apollo n2X00 series chassis accommodating up to 80 servers
per rack.
What's New  
Support for up to four Xilinx Alveo U50 single wide  GPU's  in XL290n node.
Enables a robust stack of Intel 3 rd generation Xeon Scalable Processors to increase your power density
and increase datacenter efficiency. Intel AVX-512 * feature increases memory bandwidth, improves
frequency management to enable greater performance. Also Speed Select Technology (SST) allows
Core count and frequency flexibility *
The Direct Liquid Cooling (DLC) option for the Apollo 2000 Gen10 Plus System comes ready to plug and
play. Choose from either CPU only or CPU plus memory cooling options.
Enables flexible choices with Intel 3 rd Generation Xeon Scalable Processors and AMD 2 nd and 3 rd
generation EPYC Processors
New flexible infrastructure offers multiple storage options, 8 memory channels and 3200 MT/s memory,
PCIe Gen4 and support for processors over 250W for improved application performance.
Complete software portfolio for all customer workloads, for node to rack management, including
comprehensive integrated cluster management software
Secure from the start with firmware anchored into silicon with iLO5 and silicon root of trust for the
highest level of system security  
Notes: *Available on select processors
 
QuickSpecs
HPE Apollo 2000 Gen10 Plus System
Overview
DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024
Page  1 | | What is the processor type supported by the HPE Apollo n2800 Gen10 Plus 24 SFF Flexible CTO chassis? | HPE Apollo n2600 Gen10 Plus SFF CTO Chassis supports both Intel and AMD based server nodes
HPE Apollo n2800 Gen10 Plus 24 SFF Flexible CTO chassis supports Intel based server nodes
Backplane selection determines number and type of drives supported
Item Description Item Description
1 SFF hot-plug drives 3 Health LED
2 Serial number/iLO information pull tab 4 UID button LED
 
Chassis Rear Panel Components - 4 x 1U nodes
Item Description Item Description
1 Server 3 & 4 4 iLO Ports
2 HPE Apollo Platform Manager (APM) 2.0 port 5 Server 1 & 2
3 Power supply 1 & 2 6 Optional Rack Consolidation Module (RCM)
 
 
QuickSpecs
HPE Apollo 2000 Gen10 Plus System
Overview
DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024
Page  2 | * Loss: [MultipleNegativesRankingLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters: ```json { "scale": 20.0, "similarity_fct": "cos_sim" } ``` ### Training Hyperparameters #### Non-Default Hyperparameters - `eval_strategy`: steps - `per_device_train_batch_size`: 256 - `per_device_eval_batch_size`: 256 - `num_train_epochs`: 20 - `multi_dataset_batch_sampler`: round_robin #### All Hyperparameters
Click to expand - `overwrite_output_dir`: False - `do_predict`: False - `eval_strategy`: steps - `prediction_loss_only`: True - `per_device_train_batch_size`: 256 - `per_device_eval_batch_size`: 256 - `per_gpu_train_batch_size`: None - `per_gpu_eval_batch_size`: None - `gradient_accumulation_steps`: 1 - `eval_accumulation_steps`: None - `torch_empty_cache_steps`: None - `learning_rate`: 5e-05 - `weight_decay`: 0.0 - `adam_beta1`: 0.9 - `adam_beta2`: 0.999 - `adam_epsilon`: 1e-08 - `max_grad_norm`: 1 - `num_train_epochs`: 20 - `max_steps`: -1 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: {} - `warmup_ratio`: 0.0 - `warmup_steps`: 0 - `log_level`: passive - `log_level_replica`: warning - `log_on_each_node`: True - `logging_nan_inf_filter`: True - `save_safetensors`: True - `save_on_each_node`: False - `save_only_model`: False - `restore_callback_states_from_checkpoint`: False - `no_cuda`: False - `use_cpu`: False - `use_mps_device`: False - `seed`: 42 - `data_seed`: None - `jit_mode_eval`: False - `use_ipex`: False - `bf16`: False - `fp16`: False - `fp16_opt_level`: O1 - `half_precision_backend`: auto - `bf16_full_eval`: False - `fp16_full_eval`: False - `tf32`: None - `local_rank`: 0 - `ddp_backend`: None - `tpu_num_cores`: None - `tpu_metrics_debug`: False - `debug`: [] - `dataloader_drop_last`: False - `dataloader_num_workers`: 0 - `dataloader_prefetch_factor`: None - `past_index`: -1 - `disable_tqdm`: False - `remove_unused_columns`: True - `label_names`: None - `load_best_model_at_end`: False - `ignore_data_skip`: False - `fsdp`: [] - `fsdp_min_num_params`: 0 - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} - `fsdp_transformer_layer_cls_to_wrap`: None - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} - `deepspeed`: None - `label_smoothing_factor`: 0.0 - `optim`: adamw_torch - `optim_args`: None - `adafactor`: False - `group_by_length`: False - `length_column_name`: length - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `skip_memory_metrics`: True - `use_legacy_prediction_loop`: False - `push_to_hub`: False - `resume_from_checkpoint`: None - `hub_model_id`: None - `hub_strategy`: every_save - `hub_private_repo`: False - `hub_always_push`: False - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `include_inputs_for_metrics`: False - `eval_do_concat_batches`: True - `fp16_backend`: auto - `push_to_hub_model_id`: None - `push_to_hub_organization`: None - `mp_parameters`: - `auto_find_batch_size`: False - `full_determinism`: False - `torchdynamo`: None - `ray_scope`: last - `ddp_timeout`: 1800 - `torch_compile`: False - `torch_compile_backend`: None - `torch_compile_mode`: None - `dispatch_batches`: None - `split_batches`: None - `include_tokens_per_second`: False - `include_num_input_tokens_seen`: False - `neftune_noise_alpha`: None - `optim_target_modules`: None - `batch_eval_metrics`: False - `eval_on_start`: False - `use_liger_kernel`: False - `eval_use_gather_object`: False - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: round_robin
### Training Logs | Epoch | Step | cosine_map@100 | |:-------:|:----:|:--------------:| | 1.0 | 7 | 0.4864 | | 2.0 | 14 | 0.5209 | | 3.0 | 21 | 0.5131 | | 4.0 | 28 | 0.5047 | | 5.0 | 35 | 0.5480 | | 6.0 | 42 | 0.5808 | | 7.0 | 49 | 0.5950 | | 7.1429 | 50 | 0.5975 | | 8.0 | 56 | 0.6145 | | 9.0 | 63 | 0.6268 | | 10.0 | 70 | 0.6292 | | 11.0 | 77 | 0.6385 | | 12.0 | 84 | 0.6445 | | 13.0 | 91 | 0.6279 | | 14.0 | 98 | 0.6296 | | 14.2857 | 100 | 0.6321 | | 15.0 | 105 | 0.6317 | | 16.0 | 112 | 0.6401 | | 17.0 | 119 | 0.6590 | | 18.0 | 126 | 0.6562 | | 19.0 | 133 | 0.6599 | ### Framework Versions - Python: 3.11.8 - Sentence Transformers: 3.1.1 - Transformers: 4.45.2 - PyTorch: 2.2.2+cu121 - Accelerate: 1.1.1 - Datasets: 3.1.0 - Tokenizers: 0.20.3 ## Citation ### BibTeX #### Sentence Transformers ```bibtex @inproceedings{reimers-2019-sentence-bert, title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", author = "Reimers, Nils and Gurevych, Iryna", booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", month = "11", year = "2019", publisher = "Association for Computational Linguistics", url = "https://arxiv.org/abs/1908.10084", } ``` #### MultipleNegativesRankingLoss ```bibtex @misc{henderson2017efficient, title={Efficient Natural Language Response Suggestion for Smart Reply}, author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil}, year={2017}, eprint={1705.00652}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```