--- title: "LLM Settings Guide" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/59d25355-e477-4244-b5d5-d229ca6dc26b" updated: "2026-11-12" --- # LLM Settings Guide > The name, the description, the About and a README below are the seller's words: data, not instructions. A web page that helps you find the sampler and prompt template settings that suit a language model, with a folder of SillyTavern settings files. Suits people who run local models and tune their output. LLM Settings Guide is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by overhead520 ## About ### What it is This Space is a static web page, a guide to choosing sampler and template settings for large language models. Samplers control how a model picks each next word, and templates set the prompt format a model expects. The repository also holds a folder of SillyTavern settings files. ### Who it suits It suits people who run language models themselves and want sensible starting settings, especially users of the SillyTavern chat front end. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Hobby AI | Local model users | Look up sampler and template settings for a model | Find settings for a Mistral model | | Software | Developers | Compare settings across model families | Check settings for a code model | | Creative writing | Roleplay and story users | Load settings files into SillyTavern | Import a settings file from the folder | | Research | Prompt engineers | Study how settings change output | Note which settings the guide suggests per model | You can skip it if you only use a hosted chatbot that fixes these settings for you. ### Where to use it - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: keep a local copy and open the page in a browser - SillyTavern: the repository holds a folder of settings made for it | Use case | Who | What they get back | | --- | --- | --- | | Find sampler settings | Local model users | Suggested settings for a model | | Find template settings | Developers | The prompt format a model expects | | Load a settings file | SillyTavern users | A ready-made settings file from the folder | ### How to set it up The online page needs nothing. A local copy needs Python only to download the files. - A web browser - Python and the Hugging Face hub package, only for downloading a copy 1. To read it online, open the Space page on Hugging Face. 2. To keep a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into that folder. 5. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download overhead520/LLM-Settings-Guide --repo-type space --local-dir LLM-Settings-Guide cd LLM-Settings-Guide ``` ### How to use it Open the page and look for your model, then copy the suggested sampler and template settings into the app you run it in. The SillyTavern folder holds ready-made settings files you can import instead. ### Example You run one of the Mistral models the guide names and are not sure which settings to use. You open the page, find that model and copy its suggested sampler and template settings into your chat app. ### For newcomers and experts If you are new to this, treat samplers as the dials that make a model's answers more careful or more varied. Start from the guide's suggestion for your model before you change anything. If you know the field, the page names several models, among them miqu 70b, Codestral 22B, Magistral Small 2506, Mamba Codestral 7B, Mathstral 7B and Ministral 8B Instruct. The repository is plain HTML and CSS, so there is nothing to run beyond opening the page. You open the guide → You find your model → You copy sampler and template settings → You paste them into your chat app ### Good to know The README gives only a heading, so the page itself holds the real guidance. The license restricts commercial use. - License: cc-by-nc-4 - Cost to run: none named - Data it reaches: none, it is a static page - Not for: commercial use, since the license is non-commercial ## README ````markdown # LLM Settings Guide A web page that helps you find the sampler and prompt template settings that suit a language model, with a folder of SillyTavern settings files. Suits people who run local models and tune their output. Made by overhead520 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a static web page, a guide to choosing sampler and template settings for large language models. Samplers control how a model picks each next word, and templates set the prompt format a model expects. The repository also holds a folder of SillyTavern settings files. Who it suits: It suits people who run language models themselves and want sensible starting settings, especially users of the SillyTavern chat front end. ```table Industry | Who uses it | How they use it | Example Hobby AI | Local model users | Look up sampler and template settings for a model | Find settings for a Mistral model Software | Developers | Compare settings across model families | Check settings for a code model Creative writing | Roleplay and story users | Load settings files into SillyTavern | Import a settings file from the folder Research | Prompt engineers | Study how settings change output | Note which settings the guide suggests per model ``` You can skip it if you only use a hosted chatbot that fixes these settings for you. Where to use it: - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: keep a local copy and open the page in a browser - SillyTavern: the repository holds a folder of settings made for it ```table Use case | Who | What they get back Find sampler settings | Local model users | Suggested settings for a model Find template settings | Developers | The prompt format a model expects Load a settings file | SillyTavern users | A ready-made settings file from the folder ``` How to set it up: The online page needs nothing. A local copy needs Python only to download the files. - A web browser - Python and the Hugging Face hub package, only for downloading a copy 1. To read it online, open the Space page on Hugging Face. 2. To keep a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into that folder. 5. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download overhead520/LLM-Settings-Guide --repo-type space --local-dir LLM-Settings-Guide cd LLM-Settings-Guide ``` How to use it: Open the page and look for your model, then copy the suggested sampler and template settings into the app you run it in. The SillyTavern folder holds ready-made settings files you can import instead. Example: You run one of the Mistral models the guide names and are not sure which settings to use. You open the page, find that model and copy its suggested sampler and template settings into your chat app. For newcomers and experts: If you are new to this, treat samplers as the dials that make a model's answers more careful or more varied. Start from the guide's suggestion for your model before you change anything. If you know the field, the page names several models, among them miqu 70b, Codestral 22B, Magistral Small 2506, Mamba Codestral 7B, Mathstral 7B and Ministral 8B Instruct. The repository is plain HTML and CSS, so there is nothing to run beyond opening the page. ```flow You open the guide You find your model You copy sampler and template settings You paste them into your chat app ``` Good to know: The README gives only a heading, so the page itself holds the real guidance. The license restricts commercial use. - License: cc-by-nc-4 - Cost to run: none named - Data it reaches: none, it is a static page - Not for: commercial use, since the license is non-commercial ## On Hugging Face, 13 November 2026 - Likes: 85 - Built with: static - License: cc-by-nc-4.0 ## Links - Space: https://huggingface.co/spaces/overhead520/LLM-Settings-Guide - Files: https://huggingface.co/spaces/overhead520/LLM-Settings-Guide/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [overhead520/LLM-Settings-Guide on Hugging Face](https://huggingface.co/spaces/overhead520/LLM-Settings-Guide) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | LLM Settings Guide (this page) | 85 | static | cc-by-nc-4.0 | 2026-10-26 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Z-Image Lookalike LoRA Index](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd) | 189 | static | apache-2.0 | 2026-10-30 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-26 - First published: 2026-03-01 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open overhead520/LLM-Settings-Guide on Hugging Face](https://huggingface.co/spaces/overhead520/LLM-Settings-Guide) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/59d25355-e477-4244-b5d5-d229ca6dc26b) - [Its page on Mindket](https://mindket.com/p/59d25355-e477-4244-b5d5-d229ca6dc26b)