OLMo 7B: Complete Benchmark Performance Guide

other olmo-7b 2024-02-01 Apache 2.0

In-depth analysis of OLMo 7B performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendorother
Versionolmo-7b
Release Date2024-02-01
Context Window2048 tokens
Input Modalitiestext
Output Modalitiestext
LicenseApache 2.0
Documentationhttps://huggingface.co/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 62.6 % 2024-02-01 5-shot view
HUMANEVAL 62.2 pass@1 2024-02-01 — view
GSM8K 71.3 % 2024-02-01 0-shot CoT view
MATH 37.1 % 2024-02-01 0-shot CoT view
BBH 67.7 % 2024-02-01 3-shot CoT view
GPQA 37.4 % 2024-02-01 0-shot view
IFEVAL 68.4 % 2024-02-01 prompt_strict view
ARC 86.4 % 2024-02-01 challenge view
MUSR 46.8 % 2024-02-01 0-shot view
WINOGRANDE 78.7 % 2024-02-01 0-shot view

Pricing

Tier Price Currency
Input$0.18 / MtokUSD
Output$0.18 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2024-02-01

Compliance

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

OLMo 7B

Model Overview

AllenAI OLMo 7B 完全开源模型, 2K 上下文, 训练数据/代码/权重全部开放, 适合研究用途。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Other olmo-7b 2024-02-01 2K text text Apache 2.0

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 62.6 % 5-shot
HumanEval 62.2 pass@1 —
GSM8K (Grade School Math 8K) 71.3 % 0-shot CoT
MATH 37.1 % 0-shot CoT
BBH (BIG-Bench Hard) 67.7 % 3-shot CoT
GPQA 37.4 % 0-shot
IFEval 68.4 % prompt_strict
ARC 86.4 % challenge
MUSR 46.8 % 0-shot
WinoGrande 78.7 % 0-shot

Pricing

Input Output Cache Read Cache Write
— — — —

per million tokens

Strengths

  • Reliable general-purpose model.

Weaknesses

  • Proprietary, not self-hostable.
  • Context window 2K is limited.

Use Cases

  • General chat and Q&A

References