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

Model Overview

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。

Core Specifications

VendorVersionRelease DateContext WindowInput ModalitiesOutput ModalitiesLicense
Otheryi-1-5-6b2024-05-134KtexttextApache 2.0

Benchmark Performance

BenchmarkScoreUnitNotes
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

Pricing

InputOutputCache ReadCache Write
————

per million tokens

Strengths

  • Reliable general-purpose model.

Weaknesses

  • Proprietary, not self-hostable.
  • Context window 4K is limited.

Use Cases

  • General chat and Q&A

References