[r/LocalLLaMA] Lost in Quantization Space: should i choose Qwen3.5:4B int8 or Qwen3.5:9B int4 ? none of them?

Summary

A user on r/LocalLLaMA is seeking advice on choosing between a Qwen3.5:4B int8 and a Qwen3.5:9B int4 model, facing network limitations that prevent downloading both. They are confused about whether larger models are always better even when quantized, noting that smaller models offer better RAM efficiency for longer context. The user is looking for guidance on the optimal choice or if other quantization methods are preferable.

Continue Reading

Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros), [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P].

Related Articles

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

  March 29, 2026

• [r/LocalLLaMA] karpathy / autoresearch

  March 10, 2026

• [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros)

  April 7, 2026

• [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P]

  April 5, 2026