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BGE M3
◆ OPEN
by Nvidia
OPEN WEIGHTSLOCALAPI
RANKED #176 OF 230 ASSISTANTS · OVERALL #275 OF 6,596 · VIBE SCORE 5.5 · 139 VOICES
Flagship model for demanding analysis, coding, and production agent workflows
HAPPY7.8
10 mentions
SAD7.2
6 mentions
VIBE TRAJECTORY
26 weeks · 141 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download BGE M3 once and it's yours. No subscription, no rate limits, works offline.
560M parameters, FP16 file is about 1.2 GB, Q4 file is about 440 MB
- BARE MINIMUM
Intel Core i5-10400 Desktop PC with integrated graphics
8 GB RAM
~$180 USEDCPU inference with Q4 quant, ~450 tok/s processing speed, 8k context
- SWEET SPOT
Nvidia GeForce RTX 3060
12 GB VRAM
~$260 USEDFull FP16 precision, in-VRAM embedding extraction, ~3200 tok/s, 8k context
- FULL POWER
Nvidia GeForce RTX 4070 SUPER
12 GB VRAM
~$590 NEWFull FP16 precision, maximum batch throughput, ~9500 tok/s, 8k context
LEARN HOW TO SET IT UP
WILL MY BOX RUN BGE M3?
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.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long BGE M3 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMIntel Core i5-10400 Desktop PC with integrated graphics | SWEET SPOTNvidia GeForce RTX 3060 | FULL POWERNvidia GeForce RTX 4070 SUPER |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~1 S★★★★★ | UNDER A SECOND★★★★★ | UNDER A SECOND★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~3 S★★★★★ | UNDER A SECOND★★★★★ | UNDER A SECOND★★★★★ |
| Build a websitea small landing page, markup and styles together | ~18 S★★★★★ | ~3 S★★★★★ | UNDER A SECOND★★★★★ |
| Build a backendan API with routes, storage and tests | ~56 S★★★★★ | ~8 S★★★★★ | ~3 S★★★★★ |
| Build a gamea playable browser game in one file | ~33 S★★★★★ | ~5 S★★★★★ | ~2 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.
WHAT THE INTERNET SAYS
Not enough discussion about BGE M3 yet to call it. We found 139 posts but people did not say much either way.
125 POSTS · 14 COMMENTS · GITHUB · DEV.TO · DEV FORUMS · REDDIT · LEMMY
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
GLM 5.3
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2026-03-15 · 107 UPVOTESI built an open-source RAG system that actually understands images, tables, and document structure — not just text chunks
I built an open-source RAG system that actually understands images, tables, and document structure — not just text chunks
- REDDIT · 2026-07-21 · 61 UPVOTESBest embedding model for indexing ~17,000 scientific PDFs for a RAG system in 2026?
Best embedding model for indexing ~17,000 scientific PDFs for a RAG system in 2026?
- REDDIT · 2026-01-14 · 49 UPVOTESRAG at scale still underperforming for large policy/legal docs – what actually works in production?
RAG at scale still underperforming for large policy/legal docs – what actually works in production?
- REDDIT · 2026-04-09 · 37 UPVOTESStop Fine-Tuning Embedding Models Right Away. Run This Checklist First. Saved Me Weeks
Stop Fine-Tuning Embedding Models Right Away. Run This Checklist First. Saved Me Weeks
- REDDIT · 2026-04-12 · 32 UPVOTESHybrid search (BM25 + vectors + RRF) barely improved over pure semantic on 600 technical docs. What am I missing?
Hybrid search (BM25 + vectors + RRF) barely improved over pure semantic on 600 technical docs. What am I missing?
- REDDIT · 2025-08-14 · 28 UPVOTESLegal RAG issues
Legal RAG issues
- REDDIT · 2026-01-25 · 28 UPVOTESLooking for testers: 100% local RAG system with one-command setup
Looking for testers: 100% local RAG system with one-command setup
- REDDIT · 2026-04-25 · 28 UPVOTESGraph RAG: anyone actually scaled it past a few thousand docs in production?
Graph RAG: anyone actually scaled it past a few thousand docs in production?
- REDDIT · 2026-01-14 · 26 UPVOTESOpen WebUI RAG at scale still underperforming for large policy/legal docs – what actually works in production?
Open WebUI RAG at scale still underperforming for large policy/legal docs – what actually works in production?
- REDDIT · 2025-11-16 · 25 UPVOTESFully offline multi-modal RAG for NASA Life Sciences PDFs + images + audio + knowledge graphs – best 2025 local stack?
Fully offline multi-modal RAG for NASA Life Sciences PDFs + images + audio + knowledge graphs – best 2025 local stack?
- REDDIT · 2025-05-29 · 23 UPVOTESRAG chatbot using Ollama & langflow. All local, quantized models.
RAG chatbot using Ollama & langflow. All local, quantized models.
- REDDIT · 2026-06-06 · 23 UPVOTESBuilt a fully-local paper-RAG across 2× 1080 Ti + a 3090. Three Ollama gotchas that each cost me a day.
Built a fully-local paper-RAG across 2× 1080 Ti + a 3090. Three Ollama gotchas that each cost me a day.