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tanaos / artifex

Small Language Model Inference, Fine-Tuning and Observability.

Why this job: says: observability; topics: ai-observability

Artifex – Train task specific Small Language Models without training data, for offline NLP and Text Classification

What it does

Artifex is a Python library for: 1. Using pre-trained task-specific Small Language Models on CPU 2. Fine-tuning them on CPU without any training data — just based on your instructions for the task at hand.

Get started

pip install artifex
Maintenance
Inactive
Last commit 7 months ago
Stars
101
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.11.0
Released 7 months ago
Built with
Python
100% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
74% closed
11 still open
Pull requests
54 merged
0 waiting
Releases
14
11 in the last year

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • ai-observability
  • emotion-detection
  • guardrail-models
  • intent-classification
  • llm-finetuning
  • llm-inference
  • local-ai
  • named-entity-recognition
  • pre-trained-models
  • reranker
  • self-hosted-ai
  • sentiment-analysis

Project record

  • JobEvals and observability
  • StatusListed
  • Commits531
  • Forks14
  • Watching2
  • Stars in 28 days0
  • CreatedSep 9, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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