Gemma 2 2B Pytorch vs Functiongemma 270M Ft Mobile Actions
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Gemma 2 2B Pytorch | Functiongemma 270M Ft Mobile Actions | |
|---|---|---|
| Parameters | 2B | 270M |
| Context | — | — |
| Architecture | — | — |
| License | Gemma Terms | Gemma Terms |
| Downloads | 0 | 204 |
| Released | Jul 2024 | Jun 2026 |
VRAM by Quantization: Gemma 2 2B Pytorch vs Functiongemma 270M Ft Mobile Actions
| Quantization | Bits | Gemma 2 2B Pytorch VRAM | Functiongemma 270M Ft Mobile Actions VRAM |
|---|---|---|---|
| BF16 | 16.00 | 4.4 GB | 0.6 GB |
Verdict
Functiongemma 270M Ft Mobile Actions needs less VRAM at BF16 (0.6 GB vs 4.4 GB), so it fits on smaller GPUs.
Frequently Asked Questions
- Which needs less VRAM, Gemma 2 2B Pytorch or Functiongemma 270M Ft Mobile Actions?
At BF16, Gemma 2 2B Pytorch needs 4.4 GB and Functiongemma 270M Ft Mobile Actions needs 0.6 GB, so Functiongemma 270M Ft Mobile Actions is the lighter option to run locally.
- What is the difference between Gemma 2 2B Pytorch and Functiongemma 270M Ft Mobile Actions?
Gemma 2 2B Pytorch is a 2B model from Google (Gemma 2 family), while Functiongemma 270M Ft Mobile Actions is a 270M model from litert-community (Gemma 2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.