T5gemma 2B 2B Ul2 vs Text2cypher Gemma 2 9B IT Finetuned 2024v1

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Specifications

T5gemma 2B 2B Ul2Text2cypher Gemma 2 9B IT Finetuned 2024v1
Parameters5.6B9B
Context
Architecture
LicenseGemma TermsGemma Terms
Downloads10.1K663
ReleasedJul 2025Aug 2025

VRAM by Quantization: T5gemma 2B 2B Ul2 vs Text2cypher Gemma 2 9B IT Finetuned 2024v1

QuantizationBitsT5gemma 2B 2B Ul2 VRAMText2cypher Gemma 2 9B IT Finetuned 2024v1 VRAM
Q2_K3.402.6 GB4.2 GB
Q3_K_M3.903 GB4.8 GB
Q3_K_S3.502.7 GB4.3 GB
Q4_04.003.1 GB
Q4_K_M4.803.7 GB5.9 GB
Q5_K_M5.704.4 GB7.0 GB
Q6_K6.605.1 GB8.2 GB
Q8_08.006.2 GB9.9 GB

Verdict

T5gemma 2B 2B Ul2 needs less VRAM at Q4_K_M (3.7 GB vs 5.9 GB), so it fits on smaller GPUs. T5gemma 2B 2B Ul2 is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, T5gemma 2B 2B Ul2 or Text2cypher Gemma 2 9B IT Finetuned 2024v1?

At Q4_K_M, T5gemma 2B 2B Ul2 needs 3.7 GB and Text2cypher Gemma 2 9B IT Finetuned 2024v1 needs 5.9 GB, so T5gemma 2B 2B Ul2 is the lighter option to run locally.

What is the difference between T5gemma 2B 2B Ul2 and Text2cypher Gemma 2 9B IT Finetuned 2024v1?

T5gemma 2B 2B Ul2 is a 5.6B model from Google (Gemma 2 family), while Text2cypher Gemma 2 9B IT Finetuned 2024v1 is a 9B model from neo4j (Gemma 2 family). Compare their VRAM requirements above to see which fits your GPU or Mac.