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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Jina Embeddings v3/on GTX 1650 4GB

Can it run?

Can GTX 1650 4GB run Jina Embeddings v3?

BGood

Runs well

Using F16 in Ollama

Capabilities:

Fit status

Runs well

Decode

64.0 tok/s

TTFT

3025 ms

Safe context

8K

Memory

2.7 GB / 4.0 GB

Memory breakdown

Weights0.3 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingBRuns well64.0 tok/s4400 ms8K
ChatBRuns well64.0 tok/s1650 ms8K
CodingBRuns well64.0 tok/s3025 ms8K
RAGBRuns well64.0 tok/s5500 ms8K
ReasoningBRuns well64.0 tok/s3575 ms8K

Quantization options

How Jina Embeddings v3 (0.5720000267028809B params) fits at each quantization level on GTX 1650 4GB (4.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.2 GB
LowD30
Q3_K_S
3
0.3 GB
LowD31
NVFP4
4
0.3 GB
MediumD31
Q4_K_M
4
0.3 GB
MediumD31
Q5_K_M
5
0.4 GB
HighD31
Q6_K
6
0.5 GB
HighD32
Q8_0
8
0.6 GB
Very HighD32
F16Best for your GPU
16
1.2 GB
MaximumD36

Get started

Ollama
ollama run jina-embeddings-v3
HuggingFace
huggingface-cli download jina-embeddings-v3
See all results for GTX 1650 4GBSee all hardware for Jina Embeddings v3