Key Specifications

Vendormistral
Version7b-v0.2
Release Date2024-03-23
Context Window32768 tokens
Input Modalitiestext
Output Modalitiestext
LicenseApache 2.0
Documentationhttps://docs.mistral.ai/

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU64.4%2024-03-235-shotview
HUMANEVAL59.7pass@12024-03-23view
GSM8K56.2%2024-03-230-shot CoTview
MATH25.9%2024-03-230-shot CoTview
BBH71.3%2024-03-233-shot CoTview
GPQA33.9%2024-03-230-shotview
IFEVAL59.2%2024-03-23prompt_strictview
ARC85.5%2024-03-23challengeview
MUSR36.7%2024-03-230-shotview
WINOGRANDE71.7%2024-03-230-shotview

Pricing

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

Source: https://mistral.ai/technology/ · as of 2024-03-23

Compliance

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

Mistral 7B v0.2

모델 개요

Mistral 7B v0.2 开源模型, 32K 上下文, 扩展上下文窗口, 改进推理, 适合通用任务。

핵심 사양

공급업체버전출시일컨텍스트 창입력 모달리티출력 모달리티라이선스
Mistral7b-v0.22024-03-2332KtexttextApache 2.0

벤치마크 성능

벤치마크점수단위비고
MMLU (Massive Multitask Language Understanding)64.4%5-shot
HumanEval59.7pass@1
GSM8K (Grade School Math 8K)56.2%0-shot CoT
MATH25.9%0-shot CoT
BBH (BIG-Bench Hard)71.3%3-shot CoT
GPQA33.9%0-shot
IFEval59.2%prompt_strict
ARC85.5%challenge
MUSR36.7%0-shot
WinoGrande71.7%0-shot

가격

입력출력캐시 읽기캐시 쓰기

백만 토큰당

강점

  • 可靠的通用模型。

약점

  • 闭源专有模型,不支持自托管。

사용 사례

  • 通用对话与问答

참고문헌