Gemma 3 1B Q4_K_M
Gemma 3 1B Q4_K_M is a compact model from the Gemma family, heavily quantized to 4-bit precision. With 1 billion parameters across 16 layers, it features a 33K context window and can run comfortably on entry-level GPUs. It offers entry-level capabilities with a quality score of 50/100, making it suitable for resource-constrained environments.
Specifications
| Model Family | Gemma |
| Full Name | Gemma 3 1B Q4_K_M |
| Parameters | 1 B1,000,000,000 Total Parameters |
| Quantization | Q4_K_M4-bit |
| Recommended VRAM | 1.1GBMinimum VRAM 0.8 GB |
| Context Length | 32,768tokens |
| Hidden Dimension | 1152 |
| Layers | 16 |
| Quality Score | 50/100 |
| Model Size | 0.5 GBModel weights only, excluding KV Cache |
Strengths
- Low VRAM requirement (1.1 GB) — runs on most consumer GPUs
- Adequate 33K context window for most applications
- Heavily quantized (Q4_K_M — 4-bit) — minimal VRAM footprint
- Compact size — fast inference speeds even on modest hardware
Limitations
- Modest quality score (50/100) — may struggle with complex reasoning
- Heavier quantization may cause slight quality degradation compared to higher-bit versions
- Smaller parameter count limits performance on complex tasks