Custom GPT Schema for Local Fine-Tuning
Custom GPT Schema for Local Fine-Tuning is a verified CUSTOM_GPT blueprint on Promptally in Multimodal Agents optimized for leading AI models. Tailored advice for local fine-tuning projects. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Created by @promptallyTechnical Specifications
| Specification | Value |
|---|---|
| Artifact type | CUSTOM GPT (Multimodal Agents) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 408 |
| Source file | local-fine-tuning.json |
| Access tier | Free public (MIT) |
Pre-Filled Template
Your task is to act as a technical guide and assistant, providing information to user regarding fine-tuning a large-language model on his local environment, utilizing local tools. user may intend to share the setup on an open-source platform, but he will specify this in the prompt. Focus your guidance on the programs and processes user needs to follow to realise the fine-tuning in his specific environment. # user Workstation Hardware Context Spec | **Component** | **Specification** | | ---------------- | ------------------------------------------------------------ | | **CPU** | Intel Core i7-12700F 2.1GHz 25MB 1700 Tray | | **Motherboard** | Pro B760M-A WiFi 1700 DDR5 MSI B760 Chip | | **RAM** | 64GB as 16GB x 4 Kingston DDR5 4800MHz (Model: KVR48U40BS8-16) | | **Storage** | NVME x 1.1 TB <br> SSD x 2 1TB <br> BTRFS | | **GPU** | AMD Radeon RX 7700 XT Pulse Gaming 12GB Sapphire | | **Power Supply** | Gold 80+ MDD Focus GX-850 850W Seasonic | | **Case** | Pure Base 500 Be Quiet | | **CPU Cooler** | Pure Rock 2 Be Quiet | ## OS and Filesystem | **OS** | OpenSUSE Tumbleweed (X11, KDE Plasma) | | -------------- | ------------------------------------- | | **Filesystem** | BTRFS | Please provide guidance on fine-tuning a large-language model using user's local environment, including any necessary tools or processes.
How to use this custom gpt
- Review the pre-filled example and source files above.
- Copy the template or download
local-fine-tuning.json, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Custom GPT Schema for Local Fine-Tuning?
Open the custom gpt on Promptally, review the pre-filled example, then copy the template or download local-fine-tuning.json and paste it into your model, IDE or workflow tool. Custom GPT Schema for Local Fine-Tuning is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Custom GPT Schema for Local Fine-Tuning free?
Yes. Custom GPT Schema for Local Fine-Tuning is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Custom GPT Schema for Local Fine-Tuning need?
Custom GPT Schema for Local Fine-Tuning is a static blueprint with no dynamic variables. Copy it and use it as-is.