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D24V0L1B2LPSQ-7B
TVS DIODE 24VWM 46VC DFN1006-2
- 제조업체
- Mfr.부분 #D24V0L1B2LPSQ-7B
- 패키지 0402 (1006 Metric)
- 데이터시트 D24V0L1B2LPSQ-7B DataSheet
- 재고 있음6942
100% 원래 &새로운
배송 준비 24 시간
365 일 보장
RFQ 및더 많은 할인
사양
| Supplier | Diodes Incorporated |
| Package | Tape & Reel (TR),Cut Tape (CT) |
| Series | Automotive, AEC-Q101 |
| ProductStatus | Active |
| Type | Zener |
| BidirectionalChannels | 1 |
| Voltage-ReverseStandoff(Typ) | 24V (Max) |
| Voltage-Breakdown(Min) | 26V |
| Voltage-Clamping(Max)@Ipp | 46V |
| Current-PeakPulse(10/1000µs) | 2A (8/20µs) |
| Power-PeakPulse | 90W |
| PowerLineProtection | No |
| Applications | Automotive |
| Capacitance@Frequency | 6pF @ 1MHz |
| OperatingTemperature | -65°C ~ 150°C (TJ) |
| MountingType | Surface Mount |
| Package/Case | 0402 (1006 Metric) |
개요
Description
D24V0L1B2LPSQ-7B appears to be a 7‑billion‑parameter transformer-based language model in the D24V0L1B2LPSQ family. Exact specs (training data, architecture, and fine-tuning) vary by release, so consult official documentation for precise details.
- Capabilities: natural language understanding and generation; suitable for chat, summarization, QA, translation, coding help, and basic reasoning.
- Strengths: typically faster than larger models; useful for many everyday NLP tasks with careful prompting and fine‑tuning.
- Limitations: may produce hallucinations or outdated/inaccurate facts; performance depends on training and prompts; inherits biases from data.
- Safety and ethics: requires guardrails, content filtering, and human review for high-stakes tasks.
- Context window: varies by configuration; often thousands of tokens.
- Access: commonly via API or local deployment; licensing and availability depend on the vendor.
If you’re evaluating it, test on your domain tasks, compare to baselines, and implement monitoring and safety checks.
- Capabilities: natural language understanding and generation; suitable for chat, summarization, QA, translation, coding help, and basic reasoning.
- Strengths: typically faster than larger models; useful for many everyday NLP tasks with careful prompting and fine‑tuning.
- Limitations: may produce hallucinations or outdated/inaccurate facts; performance depends on training and prompts; inherits biases from data.
- Safety and ethics: requires guardrails, content filtering, and human review for high-stakes tasks.
- Context window: varies by configuration; often thousands of tokens.
- Access: commonly via API or local deployment; licensing and availability depend on the vendor.
If you’re evaluating it, test on your domain tasks, compare to baselines, and implement monitoring and safety checks.
Package
Package type: LPSQ (leadless plastic small-outline package). The -7B is the variant. For exact pin count and dimensions, refer to the manufacturer’s datasheet.
Pinout
I can’t determine the pin count and function from that part number alone. Please provide the manufacturer or a link to the datasheet, and I’ll extract the exact pin count and function (e.g., 7 pins with the specific device function).
Application
- Conversational AI and customer support chatbots
- Code generation, debugging, and software assistance
- Writing, editing, and content creation (articles, emails, marketing)
- Tutoring and educational aids
- Text summarization, paraphrasing, and translation
- Information extraction, Q&A, and data analysis support
- Brainstorming, ideation, and lightweight on-device deployments
- Code generation, debugging, and software assistance
- Writing, editing, and content creation (articles, emails, marketing)
- Tutoring and educational aids
- Text summarization, paraphrasing, and translation
- Information extraction, Q&A, and data analysis support
- Brainstorming, ideation, and lightweight on-device deployments
Equivalent
Equivalents depend on the device function, not just the part number. D24V0L1B2LPSQ-7B is a package/revision code and needs the device type (e.g., regulator, switch, translator) and specs. Please share the datasheet, manufacturer, or at least: function, input/output ranges, current rating, package (LPSQ-7B), and temperature range. With that, I can list cross-references from TI, ST, Onsemi, NXP, Renesas and show nearest equivalents.
배송
배송 방법We
DHL, FedEx, TNT, UPS 또는 선택한 다른 운송업체를 통해 글로벌 배송 서비스를 제공합니다.
배송 요금 참조 (DHL/FedEx):
DHL은: 배송 비용은 $25-$45 (0.5kg)에서 2-5 영업일의 추정적 배달 시간이 있습니다.
FedEx는: 배송 비용은 $25-$40 (0.5kg)에서 3-7 영업일의 추정적 배달 시간을 가지고 있습니다.
UPS는: 배송 비용은 $25-$45 (0.5kg)에서 3-7 영업일의 추정적 배달 시간을 가지고 있습니다.
TNT는: 배송 비용은 $25-$65 (0.5kg)에서 3-7 영업일의 추정적 배달 시간을 가지고 있습니다.
EMS는: 배송 비용은 $30-$50 (0.5kg)에서 7-15 영업일의 추정적 배달 시간을 제공합니다.
등록된 항공우편: 배송 비용은 $2-$4 (0.1kg), 예상 배달 시간 5-20 영업일.
지불
Payment Methods
지불 기간은 100% 사전 지불입니다.
현재, 우리는 아래 지불 방법만 받아들입니다.:
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2. 신용/직불 카드
3. 전선 전송
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