Key Specifications

Vendorother
Versionmpt-7b
Release Date2023-05-04
Context Window2048 tokens
Input Modalitiestext
Output Modalitiestext
LicenseApache 2.0
Documentationhttps://huggingface.co/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU51.7%2023-05-045-shotview
HUMANEVAL38.1pass@12023-05-04view
GSM8K44.6%2023-05-040-shot CoTview
MATH18.4%2023-05-040-shot CoTview
BBH59.9%2023-05-043-shot CoTview
GPQA34.2%2023-05-040-shotview
IFEVAL59.9%2023-05-04prompt_strictview
ARC87.5%2023-05-04challengeview
MUSR42.4%2023-05-040-shotview
WINOGRANDE65.5%2023-05-040-shotview

Pricing

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

Source: https://huggingface.co/models · as of 2023-05-04

Compliance

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

MPT 7B

Model Overview

MosaicML MPT 7B 经济型开源模型, 2K 上下文, 7B 参数, Apache 2.0 可商用, 适合本地部署。

Core Specifications

VendorVersionRelease DateContext WindowInput ModalitiesOutput ModalitiesLicense
Othermpt-7b2023-05-042KtexttextApache 2.0

Benchmark Performance

BenchmarkScoreUnitNotes
MMLU (Massive Multitask Language Understanding)51.7%5-shot
HumanEval38.1pass@1
GSM8K (Grade School Math 8K)44.6%0-shot CoT
MATH18.4%0-shot CoT
BBH (BIG-Bench Hard)59.9%3-shot CoT
GPQA34.2%0-shot
IFEval59.9%prompt_strict
ARC87.5%challenge
MUSR42.4%0-shot
WinoGrande65.5%0-shot

Pricing

InputOutputCache ReadCache Write

per million tokens

Strengths

  • Reliable general-purpose model.

Weaknesses

  • MMLU 51.7, weak knowledge reasoning.
  • HumanEval 38.1, coding weak.
  • Proprietary, not self-hostable.
  • Context window 2K is limited.

Use Cases

  • General chat and Q&A

References