Key Specifications

Vendorother
Versionwizardlm-2-8x22b
Release Date2024-04-15
Context Window65536 tokens
Input Modalitiestext
Output Modalitiestext
LicenseApache 2.0
Documentationhttps://huggingface.co/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 78.9 % 2024-04-15 5-shot view
HUMANEVAL 77.9 pass@1 2024-04-15 view
GSM8K 83.7 % 2024-04-15 0-shot CoT view
MATH 39.8 % 2024-04-15 0-shot CoT view
BBH 73.6 % 2024-04-15 3-shot CoT view
GPQA 39.3 % 2024-04-15 0-shot view
IFEVAL 75.3 % 2024-04-15 prompt_strict view
ARC 92.1 % 2024-04-15 challenge view
MUSR 58 % 2024-04-15 0-shot view
WINOGRANDE 81.6 % 2024-04-15 0-shot view

Pricing

Tier Price Currency
Input$1.2 / MtokUSD
Output$1.2 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2024-04-15

Compliance

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

Microsoft WizardLM 2 8x22B

Model Overview

Microsoft WizardLM 2 8x22B 微调模型, 64K 上下文, 基于 Mixtral 8x22B, 在 Arena 上接近 GPT-4。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Other wizardlm-2-8x22b 2024-04-15 65K text text Apache 2.0

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 78.9 % 5-shot
HumanEval 77.9 pass@1
GSM8K (Grade School Math 8K) 83.7 % 0-shot CoT
MATH 39.8 % 0-shot CoT
BBH (BIG-Bench Hard) 73.6 % 3-shot CoT
GPQA 39.3 % 0-shot
IFEval 75.3 % prompt_strict
ARC 92.1 % challenge
MUSR 58.0 % 0-shot
WinoGrande 81.6 % 0-shot

Pricing

Input Output Cache Read Cache Write

per million tokens

Strengths

  • Mixture-of-Experts architecture.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

  • Code generation and debugging

References