# Best local embedding model for job-posting search on a 16 GB M4 Mac?

> Source: <https://discuss.huggingface.co/t/best-local-embedding-model-for-job-posting-search-on-a-16-gb-m4-mac/183201#post_1>
> Published: 2026-10-06 00:13:01+00:00

Hi all,

I’m building a local job-search assistant and I’m looking for the best

embedding model for it. Everything runs on my own machine, so speed and

memory matter as much as quality.

The setup

What I measured (56 postings, two questions each, pool of 400 postings;

“top 5” = the posting the question was written from is in the top 5)

| Model | Natural top 5 | Paraphrased top 5 | Speed | 
|---|---|---|---|
| bge-small-en-v1.5 (current) | 77% | 32% | 366 chunks/s | 
| bge-large-en-v1.5 | 79% | 45% | 34 chunks/s | 
| Qwen3-Embedding-4B (Q4 GGUF) | 91% | 71% | 3.3 chunks/s | 

Qwen3-Embedding-4B is clearly the best, but it would take about 12 hours

to embed my corpus, against about 6 minutes for bge-small. I’m testing

Qwen3-Embedding-0.6B now (about 19 chunks/s so far).

What I’m looking for

Constraints: English only, runs locally in under about 3 GB of memory,

free to use.

Thanks for any suggestions!

Gopi Krishna Reddy Katkuri