Key Specifications

Vendorgoogle
Versiongemma-2-9b
Release Date2024-06-27
Context Window8192 tokens
Input Modalitiestext
Output Modalitiestext
LicenseGemma License
Documentationhttps://ai.google.dev/gemma/docs

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU64.3%2024-06-275-shotview
HUMANEVAL60.9pass@12024-06-27view
GSM8K64.3%2024-06-270-shot CoTview
MATH28.9%2024-06-270-shot CoTview
BBH66.7%2024-06-273-shot CoTview
GPQA30.3%2024-06-270-shotview
IFEVAL64.3%2024-06-27prompt_strictview
ARC90.3%2024-06-27challengeview
MUSR44.1%2024-06-270-shotview
WINOGRANDE72.5%2024-06-270-shotview

Pricing

TierPriceCurrency
Input$0.3 / MtokUSD
Output$0.3 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://ai.google.dev/pricing · as of 2024-06-27

Compliance

  • Data Residency: US
  • SOC2: ✓
  • HIPAA: ✗
  • GDPR: ✓
  • ISO 27001: ✓

Gemma 2 9B

Modellübersicht

Google Gemma 2 9B 开源模型, 8K 上下文, 在 9B 规模上超越 Llama 3 8B, 推理能力接近 70B 模型。

Kernspezifikationen

AnbieterVersionVeröffentlichungsdatumKontextfensterEingabemodalitätenAusgabemodalitätenLizenz
Googlegemma-2-9b2024-06-278KtexttextGemma License

Benchmark-Leistung

BenchmarkErgebnisEinheitNotizen
MMLU (Massive Multitask Language Understanding)64.3%5-shot
HumanEval60.9pass@1
GSM8K (Grade School Math 8K)64.3%0-shot CoT
MATH28.9%0-shot CoT
BBH (BIG-Bench Hard)66.7%3-shot CoT
GPQA30.3%0-shot
IFEval64.3%prompt_strict
ARC90.3%challenge
MUSR44.1%0-shot
WinoGrande72.5%0-shot

Preise

EingabeAusgabeCache-LesenCache-Schreiben

pro Million Token

Stärken

  • 可靠的通用模型。

Schwächen

  • 闭源专有模型,不支持自托管。
  • 上下文窗口 8K 偏小。

Anwendungsfälle

  • 通用对话与问答

Referenzen