LOADING DATASHEET
LOADING DATASHEET
by Digitalocean
RANKED #146 OF 228 ASSISTANTS · OVERALL #233 OF 6,618 · VIBE SCORE 5.7 · 37 VOICES
Reranking model for improving retrieval quality in search and recommendation systems
5 mentions
1 mentions
26 weeks · 25 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights: download BGE Reranker v2 M3 once and it's yours. No subscription, no rate limits, works offline.
568M parameters, FP16 file is about 1.1 GB and INT8/Q4 is under 600 MB
Intel Core i5 PC or Apple Mac Mini M1
8 GB RAM
~$250 USEDCPU inference (FP16 or INT8 ONNX), ~150 tok/s, 1k context
NVIDIA GeForce RTX 3060 12GB PC
12 GB VRAM
~$280 USED GPUFull FP16 in VRAM with high throughput batching, ~1200 tok/s, 8k context
NVIDIA GeForce RTX 4090 24GB PC
24 GB VRAM
~$1750 NEW GPUUnquantized FP32/FP16 TEI server, massive parallel batching, ~4500 tok/s, 8k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long BGE Reranker v2 M3 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMIntel Core i5 PC or Apple Mac Mini M1 | SWEET SPOTNVIDIA GeForce RTX 3060 12GB PC | FULL POWERNVIDIA GeForce RTX 4090 24GB PC |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~3 S | UNDER A SECOND | UNDER A SECOND |
| Summarize a documenta long report boiled down to the points that matter | ~10 S★★★★★ | ~1 S★★★★★ | UNDER A SECOND★★★★★ |
| Build a websitea small landing page, markup and styles together | ~53 S★★★★★ | ~7 S★★★★★ | ~2 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.8 MIN★★★★★ | ~21 S★★★★★ | ~6 S★★★★★ |
| Build a gamea playable browser game in one file | ~1.7 MIN★★★★★ | ~13 S★★★★★ | ~3 S★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Not enough discussion about BGE Reranker v2 M3 yet to call it. We found 37 posts but people did not say much either way.
28 POSTS · 9 COMMENTS · REDDIT · GITHUB
Other models the crowd has fully reviewed, starting with text models like this one.
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We need to talk about Ollama’s lack of reranker support.
Help for RAG
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New external reranking feature in 0.6.9 doesn’t seem to function at all (verified by using Ollama PS)
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How to do basic Documents configuration in OpenWebUI? Going from older version to new version and things have changed.
What we learned deploying RAG for regulated industries (manufacturing, legal, healthcare)