programasweights / programasweights/programasweights-python

Question: Feasibility of using more modern small language models

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Dominant language
Python
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Description

Hi I saw the reddit blog post on claudish and thought this is a very interesting thing. I was thinking if using a newer model like LFM2.5-230M or LFM2.5-350M might help to drastically improve the model's capabilities? I understand that changing models would require recompilation of the .paw file. I also saw some things about Cactus' runtime being made for edge and browser use, not sure if its is a promising alternative to what is used now. Also I would like to know more about the compilation process on the server as I dont think the source is published? It would help with experimentation greatly. Im also thinking about the possibility to use this as part of a RAG? What do you think? Thank you, just wanted to share some thoughts I had on this.

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The issue names no files, tests, or entry points. Start by reviewing the repository's compilation and runtime entry points, then determine whether model selection, Cactus runtime support, server-side compilation, or RAG integration is in scope and what concrete outcome would define completion.

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Assessment

Tech stack
python
Domain
ai, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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