SmolLM 360M Specs, Benchmarks & Downloads

SmolLM 360M

Hugging Face efficient model

Status
active
Parameters

360.00

Context Window

2048

Modality

Text

Release Date

Nov 30, -0001

About

Explore SmolLM 360M, a text AI model developed by . View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.

SmolLM 360M provides improved capability in a small footprint.

Family
Baichuan
Developer
N/A
Architecture
Transformer
License
Llama Community License
Hardware Requirements
Minimum:
Use Case: Edge inference GPU Minimum: Integrated GPU GPU VRAM: 2GB System RAM: 8GB Storage: 5GB Operating System: Windows Linux SmolLM 360M deployment
Recommended:
Use Case: Desktop inference GPU Minimum: GTX 1650 GPU VRAM: 4GB System RAM: 8GB Storage: 10GB Operating System: Linux Recommended local usage
High Performance:
Use Case: Fast inference GPU Minimum: RTX 3060 GPU VRAM: 12GB System RAM: 16GB Storage: 15GB 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 26.2 % 2024
Highest Benchmark
MMLU 26.2%
Benchmarks Available
1
Latest Evaluation
Jan 2024

Platforms (4)

PLATFORM NAME SUPPORTED NOTES Date
Ollama Yes No notes available. Jul 30, 6:42 PM
LM Studio Yes No notes available. Jul 30, 6:42 PM
llama.cpp Yes No notes available. Jul 30, 6:42 PM
Hugging Face Transformers Yes No notes available. Jul 30, 6:42 PM

    Features (2)

    NAME SUPPORTED VALUE Date
    Edge Deployment Yes N/A N/A
    Small Model 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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