Yi 1.5 6B: Complete Benchmark Performance Guide

other yi-1-5-6b 2024-05-13 Apache 2.0

In-depth analysis of Yi 1.5 6B performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendorother
Versionyi-1-5-6b
Release Date2024-05-13
Context Window4096 tokens
Input Modalitiestext
Output Modalitiestext
LicenseApache 2.0
Documentationhttps://huggingface.co/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU61.1%2024-05-135-shotview
HUMANEVAL63.1pass@12024-05-13—view
GSM8K70.4%2024-05-130-shot CoTview
MATH44.5%2024-05-130-shot CoTview
BBH70.5%2024-05-133-shot CoTview
GPQA29.2%2024-05-130-shotview
IFEVAL58.8%2024-05-13prompt_strictview
ARC86.2%2024-05-13challengeview
MUSR46.6%2024-05-130-shotview
WINOGRANDE74.5%2024-05-130-shotview

Pricing

TierPriceCurrency
Input$0.15 / MtokUSD
Output$0.15 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2024-05-13

Compliance

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

Yi 1.5 6B

모델 개요

01.AI Yi 1.5 6B 轻量开源模型, 4K 上下文, 6B 参数, 适合资源受限设备部署。

핵심 사양

공급업체버전출시일컨텍스트 창입력 모달리티출력 모달리티라이선스
Otheryi-1-5-6b2024-05-134KtexttextApache 2.0

벤치마크 성능

벤치마크점수단위비고
MMLU (Massive Multitask Language Understanding)61.1%5-shot
HumanEval63.1pass@1—
GSM8K (Grade School Math 8K)70.4%0-shot CoT
MATH44.5%0-shot CoT
BBH (BIG-Bench Hard)70.5%3-shot CoT
GPQA29.2%0-shot
IFEval58.8%prompt_strict
ARC86.2%challenge
MUSR46.6%0-shot
WinoGrande74.5%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。
  • 上下文窗口 4K 偏小。

사용 사례

  • 通用对话与问答

참고문헌