Models › rune family

rune-26b-a4b-GGUF

surogate Apache 2.0 out 34 days ago

25.8B parameters, 4B active, text in, labels out.

Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 7.2k · #526 of 619 tracked

Can I run it?16GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?7.2kdownloads, 30 days#526 of 619 we track · below the median+0 likes, downloads +3% this week73 likesHugging Face2026-10-24

Worth reading

Picked by rule from 1 tracked piece: the lab's own post, the most shared, a field report, the latest.

Most discussed · 224 HN pts

Rune is now open source

Rune, a native graphical IDE built in Go, is now open source under the GPLv3.

  • Rune's terminal was initially nearly two orders of magnitude slower than Rust-based alternatives before optimization.
  • The project uses an event-driven model to reduce latency instead of the inherited frames-per-second-driven model.
rune.build 2026-09-11 224 HN pts · 70 comments 1.7k words about the rune family family

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 8 quantized builds and 5 Spaces.

  • As a service0no API provider listed
  • On own hardware8quantized builds
  • Built on00 fine-tunes · 0 adapters · 0 merges
  • In apps5Hugging Face Spaces

Top Spaces running it: multimodalart/jev-decision-index ♥ 802

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 16 GB at INT4, 31 GB at FP8, 62 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 16 GB of weights (estimate; KV cache and activations extra)INT416 GBFP8: about 31 GB of weights (estimate; KV cache and activations extra)FP831 GBBF16: about 62 GB of weights (estimate; KV cache and activations extra)BF1662 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 16 GB of weights (estimate; KV cache and activations extra)INT416 GBFP8: about 31 GB of weights (estimate; KV cache and activations extra)FP831 GBBF16: about 62 GB of weights (estimate; KV cache and activations extra)BF1662 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

1 dated article and 0 repo commits so far

Teal is the weights (2026-09-21), amber triangles are 1 dated article (each links to it).

OctRune is now open source · 2026-09-11Weights 2026-09-21 · 2026-09-21Weights 2026-09-21now
OctRune is now open source · 2026-09-11Weights 2026-09-21 · 2026-09-21Weights 2026-09-21now

What people built on it

8 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

8 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

8 quantized (Hugging Face model tree)8 quantized
8 quantized (Hugging Face model tree)8 quantized

All variants →

Reference

Everything else, folded: the full tables, every source.

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

17 fields

Listed in Decision models

Facts

Pipeline tagtext-classification
Librarytransformers
ArchitecturesGemma4ForConditionalGeneration
Model typegemma4
Params by dtypeBF16: 25,805,936,206
Size bandL
MoEno
Gatedauto
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Gemma4ForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Gemma4ForConditionalGeneration · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for rune-26b-a4b-GGUF: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)62 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)31 GB · Single high-end GPU (<80 GB)
INT4 (0.5 bytes/param)16 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

Decision facts

catalog

Decision-model catalog curated

How it was madefull fine-tune (whole weights published)
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceboard file inspection (adapter/head/weight files) + HF base_model field
Base modelgoogle/gemma-4-26B-A4B-it
DI 0.2.1 score57.44 (independent (DI 0.2.1 board) ; author-submitted run adopted after maintainer check)
ECE (board)0.1196
Median latency120.5 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/surogate/rune-26b-a4b-GGUF

All variants

8 variants

Lineage

Quantization Family: surogate/rune 8 derivatives on the Hub

Base model: google/gemma-4-26B-A4B-it

quantized: 8

Top variants (8 shown, ranked by downloads)

8 rows
Variant Relation Quant Params Band License Author Likes Downloads
Livesport/rune-26b-a4b-v3-GGUF quantized GGUF — — apache-2.0 Livesport 2 3.9k
owao/surogate-rune-26b-a4b-GGUF quantized GGUF — — — owao 1 3.5k
RepublicOfKorokke/rune-26b-a4b-GGUF-oQ4e-fp16 quantized GGUF 25.8B L — RepublicOfKorokke 0 37
RepublicOfKorokke/rune-26b-a4b-GGUF-oQ4e quantized GGUF 25.8B L — RepublicOfKorokke 0 32
RepublicOfKorokke/rune-26b-a4b-GGUF-oQ4e-text quantized GGUF 25.2B L — RepublicOfKorokke 0 30
RepublicOfKorokke/rune-26b-a4b-GGUF-oQ3e-fp16 quantized GGUF 25.8B L — RepublicOfKorokke 0 26
RepublicOfKorokke/rune-26b-a4b-GGUF-oQ4e-text-fp16 quantized GGUF 25.2B L — RepublicOfKorokke 0 25
RepublicOfKorokke/rune-26b-a4b-GGUF-oQ3e quantized GGUF 25.8B L — RepublicOfKorokke 0 21

Articles and coverage

1 piece

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Analysis1

rune.build2026-09-11HN front pageabout the rune familyHN 224 pts · 70 comments1,675 words
Rune, a native graphical IDE built in Go, is now open source under the GPLv3. The project introduces a novel contributor program that shares Unstable Build's proceeds with participants based on active credits. Performance benchmarks show the terminal is competitive with Rust-based tools like Alacritty after engineering optimizations including an event-driven model and a gRPC API for extensions. Users can access workspaces via the rune:// scheme across machines.written, reviewed, cited
  • Rune's terminal was initially nearly two orders of magnitude slower than Rust-based alternatives before optimization.
  • The project uses an event-driven model to reduce latency instead of the inherited frames-per-second-driven model.
  • Contributors retain copyright and the company cannot take community work proprietary under the GPLv3 license.

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:43 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:18 UTC · Last verified 2026-10-25

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