Codegemma 2B vs Gemma 2 2B Pytorch
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Codegemma 2B | Gemma 2 2B Pytorch | |
|---|---|---|
| Parameters | 2.5B | 2B |
| Context | — | — |
| Architecture | — | — |
| License | Gemma Terms | Gemma Terms |
| Downloads | 5.8K | 0 |
| Released | Aug 2024 | Jul 2024 |
VRAM by Quantization: Codegemma 2B vs Gemma 2 2B Pytorch
| Quantization | Bits | Codegemma 2B VRAM | Gemma 2 2B Pytorch VRAM |
|---|---|---|---|
| BF16 | 16.00 | 5.5 GB | 4.4 GB |
Verdict
Gemma 2 2B Pytorch needs less VRAM at BF16 (4.4 GB vs 5.5 GB), so it fits on smaller GPUs.
Frequently Asked Questions
- Which needs less VRAM, Codegemma 2B or Gemma 2 2B Pytorch?
At BF16, Codegemma 2B needs 5.5 GB and Gemma 2 2B Pytorch needs 4.4 GB, so Gemma 2 2B Pytorch is the lighter option to run locally.
- What is the difference between Codegemma 2B and Gemma 2 2B Pytorch?
Codegemma 2B is a 2.5B model from Google (Gemma 2 family), while Gemma 2 2B Pytorch is a 2B model from Google (Gemma 2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.