0
Likes
0
Saves
Back to updates

[r/ML] Nanochat vs Llama for training from scratch? [P]

Impact: 3/10
Swipe left/right

Summary

An ML practitioner is training a model from scratch on historical data and is evaluating training frameworks. While Nanochat was successful for initial pretraining and SFT, its lack of interoperability, particularly with Hugging Face Transformers, is proving problematic with its latest version. The user is now considering Llama as an alternative to address these compatibility issues.

Editorial note

AI Dose summarizes public reporting and links to original sources when they are available. Review the Editorial Policy, Disclaimer, or Contact page if you need to flag a correction or understand how this site handles sources.

Continue Reading

Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [HN] Is anyone else bothered that AI agents can basically do what they want?, [r/ML] Why production systems keep making “correct” decisions that are no longer right [D].

Related Articles

Next read

[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT

Stay with the thread by reading one adjacent story before leaving this update.

Comments

Sign in to leave a comment.

Loading comments...