Models › jebadiah family

frontier-infra Apache 2.0 out 29 days ago

27.8B parameters, images and text in, text out, 256K tokens of context.

Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 638 · #603 of 619 tracked

Can I run it?17GB at INT4Estimatefits a 24 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?638downloads, 30 days#603 of 619 we track · below the median+0 likes, downloads +16% this week4 likesHugging Face2026-10-24

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: 5 quantized builds and 5 Spaces.

  • As a service0no API provider listed
  • On own hardware5quantized builds
  • Built on00 fine-tunes · 0 adapters · 0 merges
  • In apps5Hugging Face Spaces

Will it fit?

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

Fits a 64 GB Mac (unified memory) at INT4

About 17 GB at INT4, 33 GB at FP8, 67 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 17 GB of weights (estimate; KV cache and activations extra)INT417 GBFP8: about 33 GB of weights (estimate; KV cache and activations extra)FP833 GBBF16: about 67 GB of weights (estimate; KV cache and activations extra)BF1667 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 17 GB of weights (estimate; KV cache and activations extra)INT417 GBFP8: about 33 GB of weights (estimate; KV cache and activations extra)FP833 GBBF16: about 67 GB of weights (estimate; KV cache and activations extra)BF1667 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.

18 repo commits since the weights landed

Teal is the weights (2026-09-26), grey ticks are repo commits.

Oct2026-10-16: 2 repo commits2026-10-10: 1 repo commit2026-10-08: 1 repo commit2026-10-04: 1 repo commit2026-10-03: 1 repo commit2026-09-29: 2 repo commits2026-09-28: 1 repo commit2026-09-26: 9 repo commitsWeights 2026-09-26 · 2026-09-26Weights 2026-09-26now
Oct2026-10-16: 2 repo commits2026-10-10: 1 repo commit2026-10-08: 1 repo commit2026-10-04: 1 repo commit2026-10-03: 1 repo commit2026-09-29: 2 repo commits2026-09-28: 1 repo commit2026-09-26: 9 repo commitsWeights 2026-09-26 · 2026-09-26Weights 2026-09-26now

What people built on it

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

5 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.

5 quantized (Hugging Face model tree)5 quantized
5 quantized (Hugging Face model tree)5 quantized

All variants →

Reference

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

Benchmarks

8 rows

Benchmarks 8 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (8)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported Banking77 · Classify and make typed decisions77 percent27Bmodel author2026-10-23
author-reported Decision Index (DI) · Classify and make typed decisions54.67Jebadiah 27Bmodel author2026-10-23
author-reported JevBench v1.4.20.87Jebadiah 27Bmodel author2026-10-23
author-reported Jevals HelpSteer2 helpfulness (score, 300)48.7 percent27Bmodel author2026-10-23
author-reported Jevals PubMedQA (noul, 300)90 percent27Bmodel author2026-10-23
author-reported Kev transfer-v4 test (mixed, 764)85.9 percent27Bmodel author2026-10-23
author-reported Nimble held-out eval (mixed, 324)93.5 percent27Bmodel author2026-10-23
author-reported Nimble public, 13 subsets (macro, 3,880)78.6 percent27Bmodel author2026-10-23

Use-case evidence

6 use cases

What it is good at 6 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

20 fields

Listed in Decision models

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesQwen3_5ForConditionalGeneration
Model typeqwen3_5
Dtypebfloat16
Params by dtypeBF16: 27,781,427,952
Size bandL
MoEno
Context length262,144 (config.json max_position_embeddings)
Languagesen
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen3_5ForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3_5ForConditionalGeneration · 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 jebadiah-27b: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)67 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)33 GB · Single high-end GPU (<80 GB)
INT4 (0.5 bytes/param)17 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 madeLoRA/adapter fine-tune
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceboard file inspection (adapter/head/weight files) + HF base_model field
Base modelQwen/Qwen3.8-27B
DI 0.2.1 score54.67 (independent (DI 0.2.1 board))
ECE (board)0.0140
Median latency110.4 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/frontier-infra/jebadiah-27b

All variants

5 variants

Lineage

Fine-tuned from Qwen/Qwen3.8-27B Family: frontier-infra/jebadiah 5 derivatives on the Hub

Base model: Qwen/Qwen3.8-27B

quantized: 5

Top variants (5 shown, ranked by downloads)

Quant
5 rows
Variant Relation Quant Params Band License Author Likes Downloads
mradermacher/jebadiah-27b-GGUF quantized GGUF — — apache-2.0 mradermacher 1 1.9k
frontier-infra/jebadiah-27b-GGUF quantized GGUF — — apache-2.0 frontier-infra 0 1.4k
frontier-infra/jebadiah-27b-MLX-4bit quantized MLX 26.9B L apache-2.0 frontier-infra 0 119
frontier-infra/jebadiah-27b-MLX-8bit quantized MLX 26.9B L apache-2.0 frontier-infra 0 56
frontier-infra/jebadiah-27b-MLX quantized MLX — — apache-2.0 frontier-infra 0 0

Repository changelog

18 commits

Repository changelog 18 commits

DateCommitSHA
2026-10-16 Link the playground from the start-here block c44f505
2026-10-16 Add the start-here block and move build details down 844f79f
2026-10-10 Add local client install and project links 9d236f5
2026-10-08 Card: note that images are untested (vision tower inherited, trained and calibrated on text only) dfa3697
2026-10-04 Add the agent support line 4d3ed81
2026-10-03 Update the Decision Index line and add curated-list listings a2d1031
2026-09-29 Card: 9B v2 and 4B v2 comparisons at their refit temperatures 3dd6f22
2026-09-29 Link the Run Jeb locally guide from Which one should I use 54b89f6
2026-09-28 Model card: results links and community quants 6bc2299
2026-09-26 Card: the server has run the 27B, AINode 0.5.32 and 0.5.33 are released, add the JevBench public-items result c68db2b
2026-09-26 Card: point "Run it anywhere" to the LM Studio instructions 1c22cdd
2026-09-26 Card: link the GGUF and MLX builds eb78550
2026-09-26 Temperatures: apply the hard fit to score questions (0.76), keep train for choice and noul 1c0d794
2026-09-26 Card: drop the private-repo login note a5d7c80
2026-09-26 Model card: two run sections (anywhere, AINode), compact results; full tables to eval/RESULTS.md 4480932
2026-09-26 Jebadiah 27B: model card 519f0b3
2026-09-26 Jebadiah 27B: merged bf16 weights, tokenizer, temperatures, scripts, eval records 6690054
2026-09-26 initial commit b0e0eb7

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:44 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:19 UTC · Last verified 2026-10-25

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