Models › pplx-decider-v1 family

pplx-decider-v1-27b

perplexity-ai Apache 2.0 out 24 days ago

26.1B parameters, text in, labels out, 256K tokens of context.

Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 3.5k · #564 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?3.5kdownloads, 30 days#564 of 619 we track · below the median+7 likes, downloads +17% this week132 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: 1 quantized builds and 2 Spaces.

  • As a service0no API provider listed
  • On own hardware1quantized builds
  • Built on21 fine-tunes · 0 adapters · 1 merges
  • In apps2Hugging Face Spaces

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, 63 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 63 GB of weights (estimate; KV cache and activations extra)BF1663 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 63 GB of weights (estimate; KV cache and activations extra)BF1663 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.

3 repo commits since the weights landed

Teal is the weights (2026-10-01), grey ticks are repo commits.

2026-10-12: 1 repo commit2026-10-08: 1 repo commit2026-10-01: 1 repo commitWeights 2026-10-01 · 2026-10-01Weights 2026-10-01now
2026-10-12: 1 repo commit2026-10-08: 1 repo commit2026-10-01: 1 repo commitWeights 2026-10-01 · 2026-10-01Weights 2026-10-01now

What people built on it

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

3 derivatives on the Hub, led by 1 quantized

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

1 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)1 merge (Hugging Face model tree)1 quantized1 fine-tune1 merge
1 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)1 merge (Hugging Face model tree)1 quantized1 fine-tune1 merge

All variants →

Reference

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

Benchmarks

12 rows

Benchmarks 12 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (12)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 BBH · Reason through hard problems82.80% percent—model author2026-10-14
author-reported Belebele · Work across languages94.00% percent—model author2026-10-14
author-reported Circa89.20% percent—model author2026-10-14
author-reported ContractNLI80.78% percent—model author2026-10-14
author-reported FinancialPhraseBank84.18% percent—model author2026-10-14
author-reported JevBench public hard70.30% percent—model author2026-10-14
author-reported JudgeBench78.29% percent—model author2026-10-14
author-reported Overall85.71% percent—model author2026-10-14
author-reported RAGTruth88.80% percent—model author2026-10-14
author-reported TabFact90.60% percent—model author2026-10-14
author-reported TruthfulQA · Chat and follow instructions85.40% percent—model author2026-10-14
author-reported Winogrande · Chat and follow instructions83.30% percent—model author2026-10-14

Use-case evidence

7 use cases

What it is good at 7 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 tagtext-classification
Librarypytorch
ArchitecturesQwen3_5Model
Model typeqwen3_5
Dtypebfloat16
Params by dtypeBF16: 26,085,330,160
Size bandL
MoEno
Context length262,144 (config.json max_position_embeddings)
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: not in registry · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3_5Model · 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 pplx-decider-v1-27b: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)63 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 madere-hosting / rebrand of AutoJev-27B
Lineage bucketR - re-upload / rebrand of another decision model
Lineage evidencethird-party SHA-256 comparison (modelsystem.one) + NOTICE file; HF base_model Qwen/Qwen3.8-27B
Base modelAutoJev-27B (byte-identical files)
DI 0.2.1 score56.40 (independent (board row for the same weights))
ECE (board)0.0180
Median latency101 ms (DI board)
Hosted price (input)$0.04/M
NotesPerplexity launch post does not mention AutoJev
Sourcehttps://huggingface.co/perplexity-ai/pplx-decider-v1-27b

All variants

3 variants

Lineage

Fine-tuned from Qwen/Qwen3.8-27B Family: perplexity-ai/pplx-decider-v1 3 derivatives on the Hub

Base model: Qwen/Qwen3.8-27B

quantized: 1finetune: 1merge: 1

Top variants (3 shown, ranked by downloads)

Relation
Size
3 rows
Variant Relation Quant Params Band License Author Likes Downloads
ramgpt/pplx-decider-v1-27b-EXL3 quantized EXL3 7.67B M apache-2.0 ramgpt 3 132
ArthurZ/pplx-decider-v1-27b finetune — 1.31M S apache-2.0 ArthurZ 0 41
AveLabs/Qwen3.8-27B-Perplexing-Pegasus merge — 27.8B L apache-2.0 AveLabs 0 36

Repository changelog

3 commits

Repository changelog 3 commits

DateCommitSHA
2026-10-12 Credit Bespoke Nimble in the model card (#4) d8c3bd1
2026-10-08 Add new_version: perplexity-ai/pplx-decider-v1.1-27b (#3) b01a5cb
2026-10-01 Release pplx-decider-v1-27b 5117a6c

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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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