programasweights / programasweights/programasweights-python
Question: Feasibility of using more modern small language models
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Descripción
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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Evaluación
- Stack tecnológico
- python
- Área
- ai, machine-learning
- Tipo de issue
- Nueva funcionalidad
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Estado de actividad
- Activo
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 25/100