8 GB CPU laptop
Small text models with short context. Expect patient, private inference rather than speed.
Qwen3 4B
The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Confortable and keep context modest.
llama.cpp
GGUF models, CPU/GPU offload, embedded and unusual hardware. New architectures may require a recent build. Backend availability does not imply equal performance. Since v0.7.0 (2026-10-15) llama-server listens on port 9931 by default instead of 8080; the example commands pin that port explicitly. Older builds accept the same --port flag but default to 8080.
Ouvrir le guideModèles open-weight représentatifs
Qwen3 4B
- Mémoire estimée
- ~3.6 GB
- Contexte
- 32K+
Gemma 3 4B
- Mémoire estimée
- ~4.2 GB
- Contexte
- 128K
Llama 3.2 3B
- Mémoire estimée
- ~2.8 GB
- Contexte
- 128K
Gemma 3 1B
- Mémoire estimée
- ~1.4 GB
- Contexte
- 32K
Fit is based on estimated total model memory. Driver support, KV cache, multimodal projectors, concurrency, and desktop applications can all reduce available headroom. Current fit: Qwen3 4B (Confortable), Gemma 3 4B (Serré), Llama 3.2 3B (Confortable), Gemma 3 1B (Confortable).