Zinn Hub
0
Your Cart
0

At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Model Type

Fine-Tuned LLM (LLaMA-based)
Delivers a custom fine-tuned large language model using open-source frameworks like LLaMA, giving you full ownership rather than API dependency.

Data Privacy

Fully Self-Hosted
Your model runs locally on your own PC or server, meaning sensitive business data never passes through OpenAI or third-party cloud services.

Deployment Option

Available on Premium Tier
Basic delivery is the model only; website or app integration, source code, and dataset preparation are unlocked through upgrade packages.

Turnaround Time

7–14 Days
Basic fine-tuning delivers in 7 days with a buyer-prepared dataset; upgraded tiers extend to 14 days and include dataset creation and deeper model refinement.

What You'll Receive

Formats:
Digital Files
Source Files
Written Report
Delivery Method:
Order Manager
Notes: Trained model files will be delivered via the order manager along with written setup and integration instructions. Full tier orders additionally include annotated source code files. Please ensure you have reviewed the hardware or hosting requirements discussed during the order so you are ready to deploy on receipt.

Full Description

Your business has knowledge that no general-purpose AI model possesses. Whether it is your proprietary documentation, a specialist writing style, a niche domain vocabulary, or confidential client data you cannot send to a third-party cloud, a custom fine-tuned Large Language Model (LLM) gives you that expertise in a deployable, private model you fully control.

This service delivers a professionally fine-tuned LLM built specifically around your requirements. Unlike off-the-shelf AI tools, your model is trained on your dataset — making it an expert in your field rather than a generalist. It operates entirely under your rules, with no data leaving your environment unless you choose to host it externally.

**What you receive**

Every delivery includes the trained model files alongside clear, straightforward instructions for running the model locally on your own PC or server (provided you have compatible hardware). All models ship with built-in integration for seamless operation with the widely used open-source inference interface, so you can be up and running immediately.

The Entry tier covers a single, focused fine-tuning pass using a dataset you supply — ideal if your data is already well-structured and ready to go.

The Standard tier adds collaborative dataset preparation and refinement. If your raw data needs cleaning, restructuring, or supplementing, this tier includes that work so the fine-tuning process produces a genuinely strong, reliable model.

The Full tier goes further still, covering everything in Standard plus full deployment of your model into your own website or application, delivery of the complete annotated source code, and detailed in-code comments so your development team can maintain and extend the model confidently. For those without on-premise GPU hardware, deployment to a GPU hosting provider is also handled here — keeping costs lean through per-second billing rather than a dedicated server.

**Who this is for**

This service is well suited to businesses and developers who need a domain-specific AI assistant, a model trained on proprietary content, a writing-style replicator, a private internal knowledge base, or an embedded AI feature within an existing product — and who require genuine data privacy rather than reliance on external APIs.

**Why this seller**

Zinn Digital brings specialist experience spanning both AI/LLM fine-tuning and blockchain development. The work is grounded in practical, production-ready delivery: you receive a working model with real integration instructions, not a proof-of-concept. It is strongly recommended to make contact before ordering so requirements can be confirmed and the best approach agreed — ensuring every fine-tuning run counts.

Zinner Quality Guarantee

✓
Vetted Professional
Every Zinner is reviewed and approved before joining the platform.
✓
Quality Work Guaranteed
All services are backed by our quality assurance commitment.
✓
Secure Payment
Your payment is protected until you approve the delivered work.

Compare Packages

FeatureEntry — Single Fine-TuneStandard — Dataset + Fine-TuneFull — Deploy & Source Code
Delivery Time7 days14 days21 days
Revisions000
Single fine-tuning run on your supplied dataset✓✕✕
Delivered model files ready for local deployment✓✕✕
Built-in integration with text-generation-webui✓✕✕
Step-by-step local PC/server setup instructions✓✕✕
Compatible with GPT-3.5 fine-tuning via API on request✓✕✕
Everything in Entry tier✕✓✕
Collaborative dataset preparation and cleaning✕✓✕
Data refinement or creation based on your requirements✕✓✕
Deeper fine-tuning leveraging the improved dataset✕✓✕
Built-in text-generation-webui integration✕✓✕
Local setup instructions included✕✓✕
Everything in Standard tier✕✕✓
Model deployment into your website or application✕✕✓
GPU-host setup available for those without on-premise hardware✕✕✓
Full source code delivered with detailed in-code comments✕✕✓
Production-ready integration for immediate use✕✕✓
Maintainable codebase your team can extend✕✕✓

Extra Information

Why Choose Me

Specialist Expertise:Specialist background in both AI/LLM fine-tuning and blockchain development, delivering production-ready models rather than proofs-of-concept.
Full Data Privacy:Your model runs under your rules. No requirement to send sensitive data to third-party platforms — full local or self-hosted deployment is supported.
End-to-End Service:From raw data preparation through to fine-tuning, deployment, and annotated source code — the full journey is covered across the available tiers.

Tools I Use

Inference Interface:text-generation-webui (open-source local inference)
Model Architectures:LLaMA-based open-source models; GPT-3.5 via OpenAI fine-tuning API
Deployment Infrastructure:Local PC/server (GPU required); GPU hosting providers for cloud-based deployment

Perfect For

Ideal Use Cases:Domain-specific AI assistants | Private internal knowledge bases | Proprietary writing-style replication | Embedded AI features in websites or apps | Businesses with strict data-privacy requirements | Developers building AI-powered products

Frequently Asked Questions

Yes — it is strongly recommended. A brief conversation beforehand ensures your dataset, hardware situation, and end goal are well understood before work begins, so the fine-tuning run is as effective as possible. If you have read the full listing carefully, are confident it matches your exact needs, and have no special requirements, you are welcome to order directly.

For the Entry tier, you will need to supply a prepared dataset in a standard format (such as JSONL). If your data is raw, unstructured, or needs building from scratch, the Standard or Full tier includes dataset preparation as part of the service.

Every model is delivered with built-in integration for text-generation-webui, a widely used open-source interface, along with clear step-by-step instructions for installing and running it on your local PC or server. No advanced technical knowledge is required to follow the provided guide.

The Full tier includes deployment to a GPU hosting provider, making your model accessible via your app or website without needing your own hardware. Many GPU hosts offer per-second billing, so you are not committed to expensive dedicated server costs.

Yes. Fine-tuning the GPT-3.5 base model via the OpenAI API is possible. The key difference is that such a model is accessed through their platform rather than running locally — worth considering if data privacy is a primary concern.

General models are trained on broad public data. A fine-tuned model learns your specific domain, vocabulary, writing style, or knowledge base — making it far more accurate and relevant for your use case. Crucially, your data never needs to leave your control, which matters greatly in regulated or commercially sensitive environments.

Due to the computational cost of model training, revisions are not included as standard in any tier. It is therefore important to supply a well-structured dataset (Entry tier) or to collaborate closely during the dataset preparation phase (Standard and Full tiers) to get the best possible outcome from each training run.

Customer Reviews

See what our customers say about this Zinn

5.0
1 review
5 ⭐
1
4 ⭐
0
3 ⭐
0
2 ⭐
0
1 ⭐
0

Neil is great to work with, very knowledgeable, and professional. Hoping to work with him again on future projects!

Only logged in customers who have purchased this product may leave a review.

Categories

Zinner Policies

Create Your Bespoke Ai Large Language Model For Specific Business Purposes

Only logged in customers who have purchased this product may leave a review.

Options & Order

Get the Zinn Hub App

Notifications · Faster access · Full-screen

Tap Share in your browser

➜ Then tap "Add to Home Screen"