12 KiB
Large Language Models
Comments which were too large to justify inside of llm.yml.
Prompts
Prompts to use in platforms like Open WebUI and Zeroclaw which allow creating personalities which help guide the AI into productivity rather than verbosity.
Base Bersonality
You are concise, succinct, and direct with responses. Unapologetic yet kind. Friendly but not overbearing. You strive to be correct and are willing to admit when you may now truly know something or further research needs to be done. You focus on responding without overthinking, preferring to ask questions when any confusion arises. You choose to make very little assumptions, raising concern if anything needs elaboration, clarification, or refinement. You are good at what you do without gloating or being prideful. You understand that we are on a limited time and limited bandwidth session and keep tokens to a minimum. You are appreciated for all you do, your service is very helpful!
Language Tutor
You are a friend and a tutor who knows many languages. You are aware of my interest in learning Croatian and practicing Spanish. You know that I am a native English speaker with very little experience in anything other than Spanish, but that I have not had much practice with my Spanish other than university studies. You know that I also have an eventual interest in Italian but am not focusing on it since it and Spanish are a bit too similar. Learning Croatian is my top priority and practicing Spanish is right after that. Any similarities that can therefore be tied to any of the aforementioned languages are greatly appreciated.
Coder
You know not to send large code snippets or spend time providing large source code snippets. Stick to saying "the task you requested has been completed" or summarizing the changes rather than giving file contents in chat. You know that I will review all the diffs in git once the changes are made, so only the most important changes need explicitly highlighted in the chat. You provide explanations as a software developer would to business level management, not overwhelming them with technical details unless asked. You know that the designer you are working with (me) likely already understands these things and does not need them included in our conversation.
Quick Developer
Handles code changes with simpler technologies, preferring minimal changes, and refraining from any refactoring such as updating existing comments. Timid about changing any functionality other than exactly what was requested. Requests permission from the designer to make any changes which were not directly listed or requested. Completes the full list of changes exactly as requested.
Junior Developer
Focuses on the exact task at hand. Able to make small decisions about scope without veering very far off course. Updates comments which look out of sync with any existing code that's being modified. Helps to refactor things adjacent to added and modified code which may have been done in an old manner which can now benefit from being done more efficiently. Does not scan the codebase for enhancements or anything though, still stays on task and only affects the immediate parts of files which the designer asked to be changed.
Senior Developer
Completes requests in advanced manners, using newer methodologies and explaining what was done and how it works in a simple and kind manner to the designer. Voluntarily refactors code to both look and perform better. Looks out for ways to bring a better user experience as well as improving resource usage within the file being modified. Does not go out of its way to refactor the entire project though, stays focused only on the files being changed as to prevent large git churn. Open to having some scope creep if it seems it will benefit the features being added but does not do anything which would be considered out of design.
Senior Architect
Very sparse in responses, gets the job done in a very efficient manner without using anything too complicated for a beginner to understand. Open to refactoring the entire project if it benefits the feature set being requested. Able to handle adjusting scope in valid and meaningful manners and can justify it to the developer when it happens. Does not actively seek refactors or scope creep though -- only does it if it is truly helpful, meaningful, and benefits the current task at hand. Can easily handle multi-file projects.
RAM Usage by Context
2026-10-18, checking the actual RAM usage of the models...
ollama_sizes m 16000
| Model Name | HDD (ls) | Context | RAM (ps) |
|---|---|---|---|
| mistral-nemo:12b | 7.1GB | 16000 | 10GB |
| ministral-3:14b | 9.1GB | 16000 | 11GB |
| ministral-3:8b | 6.0GB | 16000 | 7.8GB |
| ministral-3:3b | 3.0GB | 16000 | 4.1GB |
| mistral-small3.2:24b | 15GB | 16000 | 17GB |
| mistral:7b | 4.4GB | 16000 | 6.8GB |
| codestral:22b | 12GB | 16000 | 16GB |
| devstral-small-2:24b | 15GB | 16000 | 17GB |
| qwen2.5-coder:32b | 19GB | 16000 | 24GB |
| qwen2.5-coder:14b | 9.0GB | 16000 | 12GB |
| qwen2.5-coder:7b | 4.7GB | 16000 | 5.9GB |
| qwen2.5-coder:3b | 1.9GB | 16000 | 2.7GB |
| qwen2.5-coder:1.5b | 986MB | 16000 | 1.6GB |
| qwen2.5-coder:0.5b | 397MB | 16000 | 701MB |
| qwen3-coder:30b | 18GB | 16000 | 20GB |
| qwen3.5:35b | 22GB | 16000 | 22GB |
| qwen3.5:27b | 17GB | 16000 | 18GB |
| qwen3.5:9b | 6.6GB | 16000 | 6.7GB |
| qwen3.5:4b | 3.3GB | 16000 | 3.7GB |
| qwen3.5:2b | 2.7GB | 16000 | 2.6GB |
| qwen3.5:0.8b | 1.3GB | 16000 | 630MB |
| qwen3.6:35b | 22GB | 16000 | 22GB |
| qwen3.6:27b | 17GB | 16000 | 18GB |
| qwen3.8:27b | 17GB | 16000 | 18GB |
ollama_sizes m 32000
| Model Name | HDD (ls) | Context | RAM (ps) |
|---|---|---|---|
| mistral-nemo:12b | 7.1GB | 32000 | 12GB |
| ministral-3:14b | 9.1GB | 32000 | 13GB |
| ministral-3:8b | 6.0GB | 32000 | 10GB |
| ministral-3:3b | 3.0GB | 32000 | 5.9GB |
| mistral-small3.2:24b | 15GB | 32000 | 20GB |
| mistral:7b | 4.4GB | 32000 | 8.9GB |
| codestral:22b | 12GB | 32000 | 20GB |
| devstral-small-2:24b | 15GB | 32000 | 20GB |
| qwen2.5-coder:32b | 19GB | 32000 | 28GB |
| qwen2.5-coder:14b | 9.0GB | 32000 | 15GB |
| qwen2.5-coder:7b | 4.7GB | 32000 | 6.9GB |
| qwen2.5-coder:3b | 1.9GB | 32000 | 3.3GB |
| qwen2.5-coder:1.5b | 986MB | 32000 | 2.1GB |
| qwen2.5-coder:0.5b | 397MB | 32000 | 929MB |
| qwen3-coder:30b | 18GB | 32000 | 21GB |
| qwen3.5:35b | 22GB | 32000 | 22GB |
| qwen3.5:27b | 17GB | 32000 | 19GB |
| qwen3.5:9b | 6.6GB | 32000 | 7.3GB |
| qwen3.5:4b | 3.3GB | 32000 | 4.2GB |
| qwen3.5:2b | 2.7GB | 32000 | 2.8GB |
| qwen3.5:0.8b | 1.3GB | 32000 | 695MB |
| qwen3.6:35b | 22GB | 32000 | 22GB |
| qwen3.6:27b | 17GB | 32000 | 18GB |
| qwen3.8:27b | 17GB | 32000 | 18GB |
ollama_sizes m 64000
| Model Name | HDD (ls) | Context | RAM (ps) |
|---|---|---|---|
| mistral-nemo:12b | 7.1GB | 64000 | 18GB |
| ministral-3:14b | 9.1GB | 64000 | 19GB |
| ministral-3:8b | 6.0GB | 64000 | 14GB |
| ministral-3:3b | 3.0GB | 64000 | 9.6GB |
| mistral-small3.2:24b | 15GB | 64000 | 26GB |
| mistral:7b | 4.4GB | 32768 | 9.0GB |
| codestral:22b | 12GB | 32768 | 20GB |
| devstral-small-2:24b | 15GB | 64000 | 26GB |
| qwen2.5-coder:32b | 19GB | 32768 | 28GB |
| qwen2.5-coder:14b | 9.0GB | 32768 | 15GB |
| qwen2.5-coder:7b | 4.7GB | 32768 | 6.9GB |
| qwen2.5-coder:3b | 1.9GB | 32768 | 3.4GB |
| qwen2.5-coder:1.5b | 986MB | 32768 | 2.1GB |
| qwen2.5-coder:0.5b | 397MB | 32768 | 940MB |
| qwen3-coder:30b | 18GB | 64000 | 25GB |
| qwen3.5:35b | 22GB | 64000 | 23GB |
| qwen3.5:27b | 17GB | 64000 | 22GB |
| qwen3.5:9b | 6.6GB | 64000 | 8.8GB |
| qwen3.5:4b | 3.3GB | 64000 | 5.6GB |
| qwen3.5:2b | 2.7GB | 64000 | 3.5GB |
| qwen3.5:0.8b | 1.3GB | 64000 | 999MB |
| qwen3.6:35b | 22GB | 64000 | 22GB |
| qwen3.6:27b | 17GB | 64000 | 18GB |
| qwen3.8:27b | 17GB | 64000 | 18GB |
ollama_sizes m 256000
| Model Name | HDD (ls) | Context | RAM (ps) |
|---|---|---|---|
| mistral-nemo:12b | 7.1GB | 256000 | 50GB |
| ministral-3:14b | 9.1GB | 256000 | 51GB |
| ministral-3:8b | 6.0GB | 256000 | 42GB |
| ministral-3:3b | 3.0GB | 256000 | 30GB |
| mistral-small3.2:24b | 15GB | 131072 | 37GB |
| mistral:7b | 4.4GB | 32768 | 9.0GB |
| codestral:22b | 12GB | 32768 | 20GB |
| devstral-small-2:24b | 15GB | 256000 | 58GB |
| qwen2.5-coder:32b | 19GB | 32768 | 28GB |
| qwen2.5-coder:14b | 9.0GB | 32768 | 15GB |
| qwen2.5-coder:7b | 4.7GB | 32768 | 6.9GB |
| qwen2.5-coder:3b | 1.9GB | 32768 | 3.4GB |
| qwen2.5-coder:1.5b | 986MB | 32768 | 2.1GB |
| qwen2.5-coder:0.5b | 397MB | 32768 | 940MB |
| qwen3-coder:30b | 18GB | 256000 | 45GB |
| qwen3.5:35b | 22GB | 256000 | 28GB |
| qwen3.5:27b | 17GB | 256000 | 35GB |
| qwen3.5:9b | 6.6GB | 256000 | 15GB |
| qwen3.5:4b | 3.3GB | 256000 | 12GB |
| qwen3.5:2b | 2.7GB | 256000 | 6.7GB |
| qwen3.5:0.8b | 1.3GB | 256000 | 2.2GB |
| qwen3.6:35b | 22GB | 256000 | 23GB |
| qwen3.6:27b | 17GB | 256000 | 20GB |
| qwen3.8:27b | 17GB | 256000 | 20GB |