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

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

Specifications

Gemma 2 9BText2cypher Gemma 2 9B IT Finetuned 2024v1
Parameters9.2B9B
Context
Architecture
LicenseGemma TermsGemma Terms
Downloads75.4K663
ReleasedAug 2024Aug 2025

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

QuantizationBitsGemma 2 9B VRAMText2cypher Gemma 2 9B IT Finetuned 2024v1 VRAM
Q2_K3.404.3 GB4.2 GB
Q3_K_M3.905.0 GB4.8 GB
Q3_K_S3.504.5 GB4.3 GB
Q4_04.005.1 GB
Q4_K_M4.806.1 GB5.9 GB
Q5_K_M5.707.2 GB7.0 GB
Q6_K6.608.4 GB8.2 GB
Q8_08.0010.2 GB9.9 GB

Verdict

Text2cypher Gemma 2 9B IT Finetuned 2024v1 needs less VRAM at Q4_K_M (5.9 GB vs 6.1 GB), so it fits on smaller GPUs. Gemma 2 9B is the more widely downloaded of the two.

Frequently Asked Questions

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

At Q4_K_M, Gemma 2 9B needs 6.1 GB and Text2cypher Gemma 2 9B IT Finetuned 2024v1 needs 5.9 GB, so Text2cypher Gemma 2 9B IT Finetuned 2024v1 is the lighter option to run locally.

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

Gemma 2 9B is a 9.2B 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.