programasweights / programasweights/programasweights-python

Question: Feasibility of using more modern small language models

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Lenguaje dominante
Python
Estrellas
332
Forks
31
Merge medio
2 d 3 h
PR fusionados (30 d)
1

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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Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
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Línea de trabajo

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.

Escrito por el modelo de indexación a partir del texto del issue.

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

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