Question: Feasibility of using more modern small language models
還沒有人認領這個 Issue。
評估
- 難度
- 5/5
- 預估耗時
- 一週以上
- 新手友好度
- 25/100
- Issue 類型
- 功能
- 描述清晰度
- 需要釐清
- 活躍度
- 活躍
- 技術堆疊
- python
- 領域
- ai, machine-learning
研究方向
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.
由索引模型根據 Issue 內容生成。
描述
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.
- 主要語言
- Python
- 星號
- 332
- 分支
- 31
- 平均合併
- 2 天 3 小時
- 30 天內合併 PR
- 1
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難度 4/5 3-5 天 新手友好度 45/100
programasweights/programasweights-python#5 · 1 則留言 ·
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