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specific-ai-tools

Python toolkit for SpecificAI — edge inference helpers, partner/platform adapters, and utilities for running Specific AI models outside the platform (Lemonade, llama.cpp, and more as topics land).

Install

pip install specific-ai-tools

# Optional extras
pip install "specific-ai-tools[llamacpp]"   # local GGUF via llama-cpp-python

Packages

Package Description
embedding_heads Run classification heads on CLS embeddings from Lemonade Server (HTTP) or llama-cpp-python when those layers are stripped by GGUF conversion
from specific_ai_tools.embedding_heads import LemonadeEmbeddingClassifier

classifier = LemonadeEmbeddingClassifier(
    lemonade_model_name="user.email-agent-triage",
    checkpoint="specific-AI/email-agent-triage:bert-base-only.gguf",
    lemonade_base_url="http://localhost:13305",
)

See embedding_heads README for Lemonade and llama-cpp details. More topics will land here as siblings of embedding_heads over time.

About Us

Specific AI is the automatic SLM distillation platform that turns task prompts into production-grade small language models in days — not weeks — so your subject matter experts can ship models without waiting on scarce data-science bandwidth.

We help enterprises move agentic AI from prototype to production with SLMs that are typically 1,000×–10,000× smaller than teacher LLMs, run in milliseconds on CPUs or edge devices, and deliver the same or better task quality at a fraction of the cost — self-hosted on your cloud or downloaded for your own inference stack.

Prompt → Distill → Deploy. Bring your prompt and data, drop them into Specific AI, and get a validated small model ready to test and ship.

Ready to create SLMs at scale? Visit specific.ai.

License

MIT — see LICENSE.

Copyright (C) 2026 Specific AI Inc. All rights reserved.

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