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Schematron V2 Turbo
★ LIVE◆ OPEN
by Inference Net
JUST LANDED · UPDATING HOURLY
OPEN WEIGHTSLOCALAPIPAIDCLOSED
RANKED #252 OF 290 ASSISTANTS · OVERALL #400 OF 6,683 · VIBE SCORE 5.3 · 10 VOICES
Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather
HAPPY10.0
1 mentions
SAD-
0 mentions
VIBE TRAJECTORY
26 weeks · 3,104 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
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 Schematron V2 Turbo once and it's yours. No subscription, no rate limits, works offline.
3B parameters, a Q4 file is about 2.0 GB (BF16 is ~6 GB)
- BARE MINIMUM
Nvidia GeForce GTX 1660 Super (6GB)
6 GB VRAM
~$110 USEDQ4_K_M quantized, ~55 tok/s, 8k context
- SWEET SPOT
Nvidia GeForce RTX 3060 (12GB)
12 GB VRAM
~$250 USEDQ8 or FP16, ~90 tok/s, 32k context comfortably offloaded to VRAM
- FULL POWER
Nvidia GeForce RTX 4070 (12GB)
12 GB VRAM
~$520 NEWBF16 / FP16 full precision, ~160 tok/s, high throughput and extended context
LEARN HOW TO SET IT UP
WILL MY BOX RUN SCHEMATRON V2 TURBO?
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 Schematron V2 Turbo takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce GTX 1660 Super (6GB) | SWEET SPOTNvidia GeForce RTX 3060 (12GB) | FULL POWERNvidia GeForce RTX 4070 (12GB) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~9 S | ~6 S | ~3 S |
| Summarize a documenta long report boiled down to the points that matter | ~27 S | ~17 S | ~9 S |
| Build a websitea small landing page, markup and styles together | ~2.4 MIN★★★★★ | ~89 S★★★★★ | ~50 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~7.6 MIN★★★★★ | ~4.6 MIN★★★★★ | ~2.6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~4.5 MIN★★★★★ | ~2.8 MIN★★★★★ | ~1.6 MIN★★★★★ |
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 Schematron V2 Turbo yet to call it. We found 10 posts but people did not say much either way.
9 POSTS · 1 COMMENTS · BLUESKY · REDDIT · GITHUB
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.
Qwen3.8 27B
Muse Spark 1.3> SOURCES (10)
- BLUESKY · 2026-09-13 · 2 UPVOTESSchematron V2 Turbo (Inference net) is new and open-weight, with a 128k context window and $0.03/$0.15 per 1M tokens. Th
Schematron V2 Turbo (Inference net) is new and open-weight, with a 128k context window and $0.03/$0.15 per 1M tokens. That pricing puts it well under many closed rivals—worth checking what it actually does at that cost. #AI #LLM #OpenSource
- REDDIT · 2026-09-12 · 2 UPVOTESComment in r/MachineLearning
Comment in r/MachineLearning
- REDDIT · 2026-09-12 · 1 UPVOTESIs AI starting to get out of control
Is AI starting to get out of control
- GITHUB · 2026-09-12 · 1 UPVOTESfeat: September 2026 model support — DeepSeek V4.1 Flash, GPT-6 Astra, Fable 5.1
feat: September 2026 model support — DeepSeek V4.1 Flash, GPT-6 Astra, Fable 5.1
- REDDIT · 2026-09-12 · 1 UPVOTESA proposed solution for the k=4 exponential-rate case of Erdős Problem #817: λ_4 = 19^(1/3)
A proposed solution for the k=4 exponential-rate case of Erdős Problem #817: λ_4 = 19^(1/3)
- REDDIT · 2026-09-12 · 1 UPVOTESMost people don’t understand how severe the hugging face incident is
Most people don’t understand how severe the hugging face incident is
- REDDIT · 2026-09-12 · 1 UPVOTESHow do you think this book holds up these days?
How do you think this book holds up these days?
- REDDIT · 2026-09-12 · 1 UPVOTESDo you think the image gen is already better than your imagination?
Do you think the image gen is already better than your imagination?
- REDDIT · 2026-09-12 · 1 UPVOTESAI can help with all of our other ongoing apocalypses like climate change.
AI can help with all of our other ongoing apocalypses like climate change.
- REDDIT · 2026-09-12 · 1 UPVOTESqwen 3.8 27b ridge m4 24gb. Which models are you using for agentic coding?
qwen 3.8 27b ridge m4 24gb. Which models are you using for agentic coding?