Pre-launch RS-Molt is in pre-launch: a 70B AI model on the PC you already own. See RS-Molt →
RS-Molt Get launch email
RS-Molt ยท Pre-launch

Turn your PC into the main character.

Your computer can run far more AI than you think. No upgrades, and your data stays yours.

141 GBLlama 3.1 70B at full precision
16 GBgraphics card it runs on
1.700 s/tokenfull precision, every token exact
0.860 s/tokensame model at Q4, 98.1% agreement
The model vs the machine

A 141 GB model. A 16 GB card.

Normally a model has to fit on the graphics card, or at least in memory. This one fits in neither, and it still gives the same answers as the full model, word for word.

70B model, full precision
141 GB
Graphics card
16 GB
System memory
32 GB
How fast

Five models, four sizes each, one desktop.

Every number below is a measured run with a receipt. Nothing is estimated.

The machine every number was measured on
ProcessorRyzen 7 9700X8 cores
GraphicsRTX 4070 Ti Super16 GB
Memory32 GB DDR56400
Drive 1Samsung 9100 PRO1 TB
Drive 2Samsung 970 EVOolder drive
Drive 3Crucial P34 TB, budget drive
ModelSize, full precisionFull precisionQ8Q4Q2
Llama 3.2 3B 6.4 GB 0.051exact 0.02599.7% agree 0.02397.5% agree 0.02482.2%, often differs
Llama 3.1 8B 16 GB 0.255exact 0.04599.4% agree 0.04196.9% agree 0.04289.7% agree
13B (merge) 26 GB 0.348exact 0.07799.4% agree 0.06894.7% agree 0.07183.1%, often differs
Mistral Small 3 24B 47 GB 1.364exact 0.501100% agree 0.11396.6% agree 0.10789.7% agree
Llama 3.1 70B 141 GB 1.700exact 1.105100% agree 0.86098.1% agree 0.88493.1% agree

Seconds per token, lower is faster. Prompt: "Explain how a refrigerator works, step by step." 64 tokens, median of 3 runs, every run checked against the same model running plainly. Agreement measured across 320 positions in 5 prompts. Full precision build c874286, smaller sizes f345571. Lab results, October 4 to 6, 2026. Achieved using capabilities from our other projects; not part of this campaign.

Rewards

Back the build.

Every Founder tier gets RS-Molt for Windows as early access, plus the beta key, the Discord channel and invites to what R-Sym ships next.

Supporter
$10

Back the build and get your name in the credits.

  • Name in the credits
Opens at launch
Limited to 100
Early Founder
$39

Everything in Founder, for the first hundred backers.

  • RS-Molt for Windows, early access
  • Docs
  • Reduction Agent beta key
  • Founder Discord role and channel
  • Invites to future R-Sym betas
  • Name in the credits
Opens at launch
Founder
$49

The full Founder package.

  • RS-Molt for Windows, early access
  • Docs
  • Reduction Agent beta key
  • Founder Discord role and channel
  • Invites to future R-Sym betas
  • Name in the credits
Opens at launch
Founder + Shirt
$79

Founder, plus the hex-raven backer shirt.

  • Everything in Founder
  • Hex-raven backer shirt

Shirt shipping: US $8, Canada $18.

Opens at launch
Limited to 5
Founders Build Council
$250

Founder, plus a vote on what gets built first.

  • Everything in Founder
  • Founders Build input: vote on priorities
Opens at launch

Estimated delivery April 2027. Software tiers are delivered digitally. Payment and refund terms are published on this page before the first pledge is taken.

Launch email

Hear the moment pledges open.

One email when RS-Molt goes live, so you can grab an Early Founder spot before the hundred are gone. Nothing else is sent, and the address is not shared.

Molt feed

Updates, builds and runs

R-Sym dragon

RS-Molt is in pre-launch

The campaign is moving to its own home here on r-sym.com, next to the results, the builds and, soon, a live demo. Pledges open at launch. Leave your email on the overview page and you will hear the moment they do.

Every smaller size got faster

A kernel fix for the quantized sizes. 70B at Q4 went from 1.313 to 0.860 s/token, and every Q8, Q4 and Q2 cell on every model improved. The answers did not change: all 45 runs produced the same tokens as before.

build f345571 · 15 cells · 3 runs each · 45/45 match

70B at full precision: 1.700 s/token

Llama 3.1 70B, all 141 GB, no quantization, on a desktop with one 16 GB graphics card and 32 GB of memory. Every token matched a plain run of the same model.

build c874286 · median of 3 runs · 64/64 tokens match
Ways to help

Not everyone backs with money.

Back it

Pick a tier

The most direct way to get RS-Molt built and out the door.

Introduce someone

Know a builder?

Someone who runs models locally, or someone at a hardware company. An intro goes a long way.

Spread it

Share the results

The numbers make the case on their own. Send someone this page.