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
pip install "specific-ai-tools[split]" # split_model + compare_models_results (torch)
pip install "specific-ai-tools[all]" # torch + 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.
3 maintainers
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