turbo-ai-1.5b

Turbo AI 1.5B — Flagship Edge Email Model ⚡️

At TurboMail, we believe your personal data — especially your emails — should never leave your device.

Turbo AI 1.5B is the flagship edge model from TurboAI Labs, designed specifically for private, offline email workflows.

It is built for fast local inference and optimized for practical inbox productivity tasks such as summarization, professional drafting, intent parsing, and task extraction.

Turbo AI 1.5B powers the local-first AI vision behind TurboMail: useful AI assistance without sending private email content to external servers.

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Why Turbo AI?

Most AI email tools depend on cloud inference, which means private email content may leave the user's device.

Turbo AI is built for a different future: local-first AI for email.

With Turbo AI, email workflows can run directly on the user's machine, improving privacy, speed, and offline access.

Key Benefits

Absolute Privacy
Email content can be processed locally without sending private threads to external AI servers.

Fast Local Inference
Turbo AI 1.5B is lightweight enough for practical on-device use.

Offline Access
Summarize, draft, and extract tasks from emails even without an internet connection.

Purpose-Built for Email
Optimized for inbox workflows, professional communication, and local productivity.

Edge-Ready
Designed for desktop apps, local AI assistants, and privacy-first software.

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Model Details

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Intended Use Cases

Turbo AI 1.5B is designed for:

• Email summarization
• Draft reply generation
• Intent parsing
• Task extraction
• Inbox triage
• Follow-up detection
• Local productivity workflows
• Offline AI assistant experiences
• Privacy-first email applications

Example workflows:

• Summarizing long email threads
• Creating professional reply drafts
• Extracting action items from emails
• Detecting whether an email needs a response
• Identifying deadlines, meetings, and follow-ups
• Helping users manage their inbox locally

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Example Prompts

Email Summarization

Summarize this email in 3 bullet points:

Hi Sam, just checking whether you are available for a quick call tomorrow afternoon.
We want to discuss the onboarding timeline, the internship documents, and the first sprint tasks.

Draft Reply

Write a polite professional reply to this email:

Hi Sam, are you available tomorrow after 2 PM for a quick onboarding call?
We would like to go over the project timeline and your first sprint tasks.

Task Extraction

Extract action items from this email:

Please send your updated resume by Friday, confirm your start date, and share your GitHub username with the engineering team.

Intent Parsing

Classify the intent of this email:

Can you please review the attached document and send your feedback by tomorrow morning?

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Run Locally

llama.cpp

llama-cli -hf TurboAiLabs/turbo-ai-1.5b:Q4_K_M --jinja

llama.cpp Server

llama-server -hf TurboAiLabs/turbo-ai-1.5b:Q4_K_M

Ollama

ollama run hf.co/TurboAiLabs/turbo-ai-1.5b:Q4_K_M

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Use with Python

Install:

pip install llama-cpp-python

Example:

from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="TurboAiLabs/turbo-ai-1.5b",
    filename="turbo-ai-1.5b.Q4_K_M.gguf",
)

response = llm.create_chat_completion(
    messages=[
        {
            "role": "system",
            "content": "You are Turbo AI, a helpful local email assistant. Keep responses concise, professional, and useful."
        },
        {
            "role": "user",
            "content": "Summarize this email: Please confirm your availability for tomorrow's onboarding call and send your GitHub username."
        }
    ],
    temperature=0.4,
)

print(response["choices"][0]["message"]["content"])

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Recommended System Prompt

You are Turbo AI, a local-first email assistant.

Help users summarize emails, draft replies, extract action items, classify intent, and understand email context.

Be concise, professional, privacy-aware, and avoid adding details that are not present in the email.

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Example Output

Input:

Extract action items from this email:

Hi Sam, please send your updated resume by Friday, confirm your internship start date, and share your GitHub username with the engineering team.

Expected output:

Action items:
1. Send updated resume by Friday.
2. Confirm internship start date.
3. Share GitHub username with the engineering team.

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About TurboMail

TurboMail is a local-first desktop email client focused on privacy, speed, and AI-powered productivity.

TurboMail is designed around a simple belief: personal email data should stay on the user's device whenever possible.

Turbo AI models support this mission by enabling fast, private, local AI workflows for email.

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About TurboAI Labs

TurboAI Labs builds optimized edge AI models for local-first productivity applications.

Our focus is on small, fast, practical models that can run close to the user — on desktops, personal devices, and privacy-first software environments.

Turbo AI 1.5B is our flagship model for local email intelligence.

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Links

• TurboMail Website
• Download TurboMail
• LinkedIn
• Model Repository

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Limitations

Turbo AI 1.5B is a compact edge model optimized for local email workflows. It may not perform as well as larger cloud models on broad reasoning, advanced coding, complex mathematics, or highly specialized tasks.

Users should review generated summaries, replies, extracted tasks, and classifications before taking action.

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Disclaimer

This model is intended for productivity assistance and local email workflows. Generated outputs may be incomplete or incorrect. Always verify important information before sending emails, making decisions, or taking action.

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Citation

If you use Turbo AI 1.5B, please link back to:

https://huggingface.co/TurboAiLabs/turbo-ai-1.5b

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Built by TurboAI Labs for TurboMail ⚡️