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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/Nomic Embed Text v1.5/on GTX 1650 4GB

Can it run?

Can GTX 1650 4GB run Nomic Embed Text v1.5?

CUsable

Runs well

Using F16 in Ollama

Capabilities:

Fit status

Runs well

Decode

64.0 tok/s

TTFT

3025 ms

Safe context

8K

Memory

2.5 GB / 4.0 GB

Memory breakdown

Weights0.1 GB
KV Cache0.8 GB
Runtime1.2 GB
Headroom0.4 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well64.0 tok/s4400 ms8K
ChatCRuns well64.0 tok/s1650 ms8K
CodingCRuns well64.0 tok/s3025 ms8K
RAGCRuns well64.0 tok/s5500 ms8K
ReasoningCRuns well64.0 tok/s3575 ms8K

Quantization options

How Nomic Embed Text v1.5 (0.13699999451637268B params) fits at each quantization level on GTX 1650 4GB (4.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.1 GB
LowD30
Q3_K_S
3
0.1 GB
LowD30
NVFP4
4
0.1 GB
MediumD30
Q4_K_M
4
0.1 GB
MediumD30
Q5_K_M
5
0.1 GB
HighD30
Q6_K
6
0.1 GB
HighD30
Q8_0
8
0.1 GB
Very HighD30
F16Best for your GPU
16
0.3 GB
MaximumD31

Get started

Ollama
ollama run nomic-embed-text-v1.5
HuggingFace
huggingface-cli download nomic-embed-text-v1.5
See all results for GTX 1650 4GBSee all hardware for Nomic Embed Text v1.5