Key Specifications

Vendorother
Versionbaichuan2-7b-chat
Release Date2023-09-06
Context Window4096 tokens
Input Modalitiestext
Output Modalitiestext
LicenseBaichuan 2 License
Documentationhttps://huggingface.co/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU57.9%2023-09-065-shotview
HUMANEVAL49.2pass@12023-09-06view
GSM8K40%2023-09-060-shot CoTview
MATH18.8%2023-09-060-shot CoTview
BBH53%2023-09-063-shot CoTview
GPQA33.5%2023-09-060-shotview
IFEVAL50.1%2023-09-06prompt_strictview
ARC86%2023-09-06challengeview
MUSR33.1%2023-09-060-shotview
WINOGRANDE68.3%2023-09-060-shotview

Pricing

TierPriceCurrency
Input$0.18 / MtokUSD
Output$0.18 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2023-09-06

Compliance

  • Data Residency: self-host
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Baichuan2 7B Chat

Ikhtisar Model

百川智能 Baichuan2 7B Chat 经济型对话模型, 4K 上下文, 7B 参数, 适合本地中文场景部署。

Spesifikasi Inti

VendorVersiTanggal RilisJendela KonteksModalitas InputModalitas OutputLisensi
Otherbaichuan2-7b-chat2023-09-064KtexttextBaichuan 2 License

Kinerja Benchmark

BenchmarkSkorSatuanCatatan
MMLU (Massive Multitask Language Understanding)57.9%5-shot
HumanEval49.2pass@1
GSM8K (Grade School Math 8K)40.0%0-shot CoT
MATH18.8%0-shot CoT
BBH (BIG-Bench Hard)53.0%3-shot CoT
GPQA33.5%0-shot
IFEval50.1%prompt_strict
ARC86.0%challenge
MUSR33.1%0-shot
WinoGrande68.3%0-shot

Harga

InputOutputBaca CacheTulis Cache

per juta token

Kelebihan

  • 可靠的通用模型。

Kekurangan

  • MMLU 仅 57.9,知识推理偏弱。
  • HumanEval 49.2,代码能力较弱。
  • 闭源专有模型,不支持自托管。
  • 上下文窗口 4K 偏小。

Kasus Penggunaan

  • 通用对话与问答

Referensi