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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/BGE Large EN v1.5/on Intel Arc A370M 4GB

Can it run?

Can Intel Arc A370M 4GB run BGE Large EN v1.5?

CUsable

Runs well

Using F16 in Ollama

Capabilities:

Fit status

Runs well

Decode

54.9 tok/s

TTFT

3528 ms

Safe context

512

Memory

2.6 GB / 4.0 GB

Memory breakdown

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

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns well54.9 tok/s5131 ms512
ChatCRuns well54.9 tok/s1924 ms512
CodingCRuns well54.9 tok/s3528 ms512
RAGCRuns well54.9 tok/s6414 ms512
ReasoningCRuns well54.9 tok/s4169 ms512

Quantization options

How BGE Large EN v1.5 (0.33500000834465027B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
0.1 GB
LowD30
Q3_K_S
3
0.2 GB
LowD30
NVFP4
4
0.2 GB
MediumD30
Q4_K_M
4
0.2 GB
MediumD30
Q5_K_M
5
0.2 GB
HighD30
Q6_K
6
0.3 GB
HighD31
Q8_0
8
0.4 GB
Very HighD31
F16Best for your GPU
16
0.7 GB
MaximumD33

Get started

Ollama
ollama run bge-large-en-v1.5
HuggingFace
huggingface-cli download bge-large-en-v1.5
See all results for Intel Arc A370M 4GBSee all hardware for BGE Large EN v1.5