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

Benchmark Score Unit Evaluated At Notes Source
MMLU 61.1 % 2024-05-13 5-shot view
HUMANEVAL 63.1 pass@1 2024-05-13 — view
GSM8K 70.4 % 2024-05-13 0-shot CoT view
MATH 44.5 % 2024-05-13 0-shot CoT view
BBH 70.5 % 2024-05-13 3-shot CoT view
GPQA 29.2 % 2024-05-13 0-shot view
IFEVAL 58.8 % 2024-05-13 prompt_strict view
ARC 86.2 % 2024-05-13 challenge view
MUSR 46.6 % 2024-05-13 0-shot view
WINOGRANDE 74.5 % 2024-05-13 0-shot view

Pricing

Tier Price Currency
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

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Other yi-1-5-6b 2024-05-13 4K text text Apache 2.0

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 61.1 % 5-shot
HumanEval 63.1 pass@1 —
GSM8K (Grade School Math 8K) 70.4 % 0-shot CoT
MATH 44.5 % 0-shot CoT
BBH (BIG-Bench Hard) 70.5 % 3-shot CoT
GPQA 29.2 % 0-shot
IFEval 58.8 % prompt_strict
ARC 86.2 % challenge
MUSR 46.6 % 0-shot
WinoGrande 74.5 % 0-shot

Pricing

Input Output Cache Read Cache 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