Key Specifications

Vendorother
Versionbaichuan2-13b-chat
Release Date2023-09-06
Context Window4096 tokens
Input Modalitiestext
Output Modalitiestext
LicenseBaichuan 2 License
Documentationhttps://huggingface.co/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU58.6%2023-09-065-shotview
HUMANEVAL49.6pass@12023-09-06view
GSM8K41%2023-09-060-shot CoTview
MATH23.4%2023-09-060-shot CoTview
BBH64.2%2023-09-063-shot CoTview
GPQA34.7%2023-09-060-shotview
IFEVAL48.5%2023-09-06prompt_strictview
ARC83.2%2023-09-06challengeview
MUSR37.9%2023-09-060-shotview
WINOGRANDE69.5%2023-09-060-shotview

Pricing

TierPriceCurrency
Input$0.3 / MtokUSD
Output$0.3 / 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 13B Chat

Modellübersicht

百川智能 Baichuan2 13B Chat 对话模型, 4K 上下文, 中英双语能力突出, 适合中文场景部署。

Kernspezifikationen

AnbieterVersionVeröffentlichungsdatumKontextfensterEingabemodalitätenAusgabemodalitätenLizenz
Otherbaichuan2-13b-chat2023-09-064KtexttextBaichuan 2 License

Benchmark-Leistung

BenchmarkErgebnisEinheitNotizen
MMLU (Massive Multitask Language Understanding)58.6%5-shot
HumanEval49.6pass@1
GSM8K (Grade School Math 8K)41.0%0-shot CoT
MATH23.4%0-shot CoT
BBH (BIG-Bench Hard)64.2%3-shot CoT
GPQA34.7%0-shot
IFEval48.5%prompt_strict
ARC83.2%challenge
MUSR37.9%0-shot
WinoGrande69.5%0-shot

Preise

EingabeAusgabeCache-LesenCache-Schreiben

pro Million Token

Stärken

  • 可靠的通用模型。

Schwächen

  • MMLU 仅 58.6,知识推理偏弱。
  • HumanEval 49.6,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。

Anwendungsfälle

  • 通用对话与问答

Referenzen