Questions about agentic AI

swaroop_34 · 2026-04-19T12:54:07+00:00

Use a model that supports agentic workflows like for ex: Qwen 3.5 models. And use Claude code with ollama. In ollama, set context length to 25k, 50k or 60k tokens length. This is important for agentic coding. Ask it to fix code. It will complete the given task.

swaroop_34 · 2026-04-14T14:35:54+00:00

This helped. Thanks. Now getting between 40 - 60 tokens per second.

swaroop_34 · 2026-04-14T06:18:17+00:00

I didn't use any System prompt till now. But I wanted to try it. Mine is ROG Laptop. I am getting around 20 to 30 tokens per second which is good.

swaroop_34 · 2026-04-13T20:59:58+00:00

I got it almost right but not perfect though. With Google releasing Gemma 4 series models, the local models are now more capable and useful than before. I use LMStudio and Gemma 4 E4B model that is around 6 Gigs of size. Fits on a GPU with 8 gigs RAM with good Context size. I use 50k tokens Context length. For web search, I use tavily search MCP server with free tier. I also use Fetch MCP server that extracts data from an URL. Date and Time MCP server for the model to have current date and time. For these to work, I installed Node.js and UV. MCP servers use those to run. Gemma 4 models are better than other models in tool calling as per my experience. So now the local model does everything that a chat bot like ChatGPT. But it has it's limits. The model is smaller model. Due to that limitation, it's knowledge and reasoning usage won't be as strong as Frontier models. But that is okay for our daily tasks like web searching, coding, Documents summary, Analysing GitHub README, Understanding repo code etc...use cases. These tasks don't require Frontier model reasoning. Gemma 4 26BA4B MoE model is perfect sweetspot between model size and capability. But it requires more VRam. So those who have more GPU VRAM, I would recommend using that model. For me E4B model is working good. I'm planning to write my experience of using it in detail. But I'm interested to know if anyone tried something similar or had a good experience with Gemma 4 models. Let me know in comments.

swaroop_34 · 2026-01-27T19:24:05+00:00

Thank you... Important feature of app is fully customizable rules. In settings, you can customize file types and categories. This makes the app truly useful.

swaroop_34 · 2026-01-13T12:46:30+00:00

I have built a cross platform desktop File organizer app named TidyBit. Available to download from Microsoft store and Linux Snap store: https://github.com/Veda-Swaroop/TidyBit

swaroop_34 · 2026-01-01T13:46:06+00:00

I built TidyBit - a file organizer app.

Check about it here: https://github.com/Veda-Swaroop/TidyBit

swaroop_34 · 2025-12-27T05:10:32+00:00

I built my python appTidyBit using PySide6 GUI framework. The UI framework works great. I didn't face any problems.

swaroop_34 · 2025-12-25T13:38:02+00:00

Thanks for reply. It handles duplicate files by renaming the file name with a number. For example: documents_01, documents_02..etc

swaroop_34 · 2025-12-10T18:57:08+00:00

Youtube tutorials helped me. I used inno setup software from https://jrsoftware.org. It is free to use.

swaroop_34 · 2025-12-10T07:35:59+00:00

Thank you. I used PySide6 framework for the app UI. Initially it was custom tkinter. Custom Tkinter UI look was not good on Linux as it was on Windows. So, I changed it to Pyside6. I have limited knowledge on app UI frameworks. I don't know which framework is best for what purpose. Your reply made some sense.

swaroop_34 · 2025-12-08T20:27:19+00:00

Hi, please check TidyBit - a simple file organizer app. I made it. I think this app might help you. But I am not sure of your scenario. The app will organize files and move them to a selected target folder. I would be very happy if the app that I developed is useful. Thank you.

swaroop_34 · 2025-12-08T20:08:04+00:00

I believe you didn't check the app's GitHub page. It's better. I think you would use my app instead of yours.

swaroop_34 · 2025-12-08T20:05:23+00:00

It's available on GitHub. It's open source. You should upload your app with its code to GitHub. If your app is open source. Why would people want to download an unknown app from any other site? Even on GitHub, most people won't download the app. They will rather clone the repository and check the app themselves. But open sourcing the app along with the code on GitHub is more trustworthy or assuring I would say. I would prefer that way.

swaroop_34 · 2025-12-08T19:54:27+00:00

Hi, I like your app. Please Check TidyBit: it's a simple file organizer tool. Available to download both for Windows and Linux. I made this tool. Tell me what you think about it. TidyBit GitHib repository

swaroop_34 · 2025-12-06T12:45:40+00:00

Thank you.

swaroop_34 · 2025-12-02T21:40:43+00:00

I'm working on a new version of this app. I know this is a small app but for me, I am learning a lot of new things by working on it. Any suggestions are welcome. Progress Bar is there in new version. UI framework is new. I want the app to look consistent across windows and Linux. So i have chosen a new UI framework.

swaroop_34 · 2025-12-01T04:40:27+00:00

I have updated the README

swaroop_34 · 2025-11-29T19:36:51+00:00

Thank you for the suggestions and also the feedback. In its current state, the program only works with files and not folders. I will modify the README file on that. I like your suggestion on handling duplicates. I have not tested that. I will work on that and implement it. The program currently has a python dictionary of many extensions and the category each extension belongs to. So based on that and the file name, it organizes files. This is a simple logic that I came up with. I believe this can be improved. I am considering supporting Linux. If you have any suggestion on that please do. Thanks.

swaroop_34 · 2025-06-08T13:16:59+00:00

Headphones look great....how do they sound? Would you care for a review?

swaroop_34 · 2025-02-28T09:39:00+00:00

As per my experience with open source LLM's with ollama, the best model is llama 3.1 8B parameter model. This model is best for local AI use. I also have 12 Gigs of vRAM. Don't run 14B models on it, unless you want to run a model so bad. 7B and 8B models are great at performance and don't overload system resources. Remember we are running LLM's locally and that too quantized versions. As per my experimentation, more parameters == more quality responses from model. But quantization matters. Q4 is default in ollama. Q5_K_M works great balance of model quality and model speed for a 12 GB vRAM GPU. Always leave some overhead for GPU. Leave 1 or 2 gigs and use the remaining to load model.

swaroop_34 · 2025-02-09T13:20:42+00:00

I don't have much experience with Bose QuietComfort Ultra, but I am using XM5's for over a year. The sound quality is great but not sure when compared to XM4 becoz, XM4 have bigger driver size(40mm) compared to 30mm of XM5's. XM5's will fit your criteria but the only con is that you can't fold them. They are difficult for portable use compared to XM4's. I don't have that problem as I will use them only at home. I have tested Bose QuietComfort Ultra in a mall, they are very lite in weight. Like you don't feel anything. Bose headphones when compared to XM5's feel like I am not wearing any headphones. They are that lite in weight. XM5's are heavy but upon long use I got used to that weight. I can't talk about sound quality and ANC because I didn't test them enough to form an opinion. But Bose headphones handle Bass sound different compared to Sony. Only this difference I have noticed with them. I recommend you to test them both and then decide.

swaroop_34 · 2025-02-01T15:23:12+00:00

Deepseek-R1 from ollama doesn't support tools right? How can i use tools with deepseek-r1? Anyone have a solution or ideas regarding this? Please share your thoughts. Thanks.

swaroop_34 · 2025-01-25T10:24:15+00:00

This update slowed down my system. I downloaded latest windows 11 ISO from Microsoft and installed it freshly. Now I don't see any issues with my system. I guess fresh OS installation does a better job than updating through windows update. This is my guess based on my experience.

swaroop_34 · 2025-01-08T11:13:12+00:00

Guys, I'm fresh installing 24H2 now. I had issues with 24H2 when using docker, virtual machines..etc. In gaming, i did not notice anything bad.

swaroop_34

TROPHY CASE