Gemma 2B Pytorch vs Recurrentgemma 2B Flax
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Gemma 2B Pytorch | Recurrentgemma 2B Flax | |
|---|---|---|
| Parameters | 2B | 2B |
| Context | — | — |
| Architecture | — | — |
| License | Gemma Terms | Gemma Terms |
| Downloads | 6 | 1 |
| Released | Jun 2024 | Jun 2024 |
VRAM by Quantization: Gemma 2B Pytorch vs Recurrentgemma 2B Flax
| Quantization | Bits | Gemma 2B Pytorch VRAM | Recurrentgemma 2B Flax VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 0.9 GB | — |
| Q3_K_M | 3.90 | 1.1 GB | — |
| Q3_K_S | 3.50 | 1.0 GB | — |
| Q4_0 | 4.00 | 1.1 GB | — |
| Q4_K_M | 4.80 | 1.3 GB | — |
| Q5_K_M | 5.70 | 1.6 GB | — |
| Q6_K | 6.60 | 1.8 GB | — |
| Q8_0 | 8.00 | 2.2 GB | — |
Verdict
Gemma 2B Pytorch is the more widely downloaded of the two.
Frequently Asked Questions
- What is the difference between Gemma 2B Pytorch and Recurrentgemma 2B Flax?
Gemma 2B Pytorch is a 2B model from Google (Gemma 2 family), while Recurrentgemma 2B Flax is a 2B model from Google (Gemma 2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.