OLMo 7B Specs, Benchmarks & Downloads

OLMo 7B

Allen Institute foundation model

Status
active
Parameters

7.00

Context Window

2048

Modality

Text

Release Date

Feb 01, 2024

About

Explore OLMo 7B, a text AI model developed by Snowflake. View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.

OLMo 7B provides fully open research access including training details.

Family
CodeLlama
Developer
Snowflake
Architecture
Transformer
License
Llama Community License
Hardware Requirements
Minimum:
Use Case: Local inference GPU Minimum: RTX 3060 GPU VRAM: 12GB System RAM: 32GB Storage: 50GB Operating System: Linux OLMo 7B deployment
Recommended:
Use Case: Desktop inference GPU Minimum: RTX 4070 GPU VRAM: 12GB System RAM: 32GB Storage: 60GB Operating System: Linux Recommended setup
High Performance:
Use Case: Fast inference GPU Minimum: RTX 4090 GPU VRAM: 24GB System RAM: 64GB Storage: 70GB Operating System: Linux High throughput
Model Deployment Readiness
Model Ecosystem Support

18%

Platforms
33%
Features
1%
Downloads
20%
Platform Compatibility

33%

Supported across 4 of 12 platforms
Context Window
Industry-standard context window comparison

2,048

tokens
2K
4K 32K 128K 1M 2M

Database Rank
#90
Percentile
Top 11%
Capacity
Small
Benchmark Performance
Evaluation profile across publicly reported benchmarks
MMLU
Knowledge 58.0 % 2024
Highest Benchmark
MMLU 58.0%
Benchmarks Available
1
Latest Evaluation
Feb 2024

Platforms (4)

PLATFORM NAME SUPPORTED NOTES Date
LM Studio Yes No notes available. Jul 30, 6:40 PM
vLLM Yes No notes available. Jul 30, 6:40 PM
Hugging Face Transformers Yes No notes available. Jul 30, 6:40 PM
Open WebUI Yes No notes available. Jul 30, 6:40 PM

    Features (2)

    NAME SUPPORTED VALUE Date
    Research Model Yes N/A N/A
    General Text Generation Yes N/A N/A

      Downloads (1)

      PROVIDER TYPE LINK Date
      Hugging Face Model Repository N/A

        Articles (0)

        TITLE CATEGORY TAGS PUBLISHED ON
        No articles available.

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