Qwen

Qwen3 0.6B FP16

Qwen3 0.6B FP16 is a compact model from the Qwen family, running at full FP16 precision. With 0.6 billion parameters across 28 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 42/100, making it suitable for resource-constrained environments.

Specifications

Model FamilyQwen
Full NameQwen3 0.6B FP16
Parameters0.6 B600,000,000 Total Parameters
QuantizationFP1616-bit
Recommended VRAM1.6GBMinimum VRAM 1.4 GB
Context Length32,768tokens
Hidden Dimension1024
Layers28
Quality Score42/100
Model Size1.2 GBModel weights only, excluding KV Cache

Strengths

  • Low VRAM requirement (1.6 GB) — runs on most consumer GPUs
  • Adequate 33K context window for most applications
  • High-precision quantization (FP16 — 16-bit) — near-lossless quality
  • Compact size — fast inference speeds even on modest hardware

Limitations

  • Modest quality score (42/100) — may struggle with complex reasoning
  • Higher precision = larger VRAM requirement and slower inference
  • Smaller parameter count limits performance on complex tasks
Download ModelView on HuggingFace

FAQ

Qwen3 0.6B FP16 — Specs, VRAM Requirements & GPU Recommendations — LLMFit Web