Models › jpt family

kirp CC BY-NC 4.0 out 31 days ago

4.54B 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 1.5k · #584 of 619 tracked

Can I run it?2.7GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?CC BY-NC 4.0Non-commercial only; commercial hosting not permitted without a separate licenselicence file2026-10-24
Do people use it?1.5kdownloads, 30 days#584 of 619 we track · below the median+1 likes, downloads +2% this week8 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.

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 6 Spaces.

  • As a service0no API provider listed
  • On own hardware5quantized builds
  • Built on00 fine-tunes · 0 adapters · 0 merges
  • In apps6Hugging 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 2.7 GB at INT4, 5.4 GB at FP8, 11 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 2.7 GB of weights (estimate; KV cache and activations extra)INT42.7 GBFP8: about 5.4 GB of weights (estimate; KV cache and activations extra)FP85.4 GBBF16: about 11 GB of weights (estimate; KV cache and activations extra)BF1611 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 2.7 GB of weights (estimate; KV cache and activations extra)INT42.7 GBFP8: about 5.4 GB of weights (estimate; KV cache and activations extra)FP85.4 GBBF16: about 11 GB of weights (estimate; KV cache and activations extra)BF1611 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 12 repo commits so far

Teal is the weights (2026-09-24), amber triangles are 1 dated article (each links to it), grey ticks are repo commits.

DecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-09-27: 5 repo commits2026-09-25: 1 repo commit2026-09-24: 6 repo commitsSPE, Aramco Americas, and I2k Connect Explore an LLM for the Energy Industry · 2023-11-19Weights 2026-09-24 · 2026-09-24Weights 2026-09-24now
DecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-09-27: 5 repo commits2026-09-25: 1 repo commit2026-09-24: 6 repo commitsSPE, Aramco Americas, and I2k Connect Explore an LLM for the Energy Industry · 2023-11-19Weights 2026-09-24 · 2026-09-24Weights 2026-09-24now

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

38 rows

Benchmarks 38 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (38)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 Arts BPoMP61.1—model author2026-10-07
author-reported Arts Habermas Machine11.3—model author2026-10-07
author-reported Arts Humicroedit19.5—model author2026-10-07
author-reported Arts New Yorker46.7—model author2026-10-07
author-reported Arts POP909-CL0.7—model author2026-10-07
author-reported Arts cfcolor17.3—model author2026-10-07
author-reported BRIGHT · Rerank search results34.6—model author2026-10-07
author-reported Banking77 · Classify and make typed decisions71.8—model author2026-10-07
author-reported Decision Index (DI) · Classify and make typed decisions43.04—model author2026-10-07
author-reported Decision Index (DI) · Classify and make typed decisions28.7Knowledgemodel author2026-10-07
author-reported Decision Index (DI) · Classify and make typed decisions52.5Languagemodel author2026-10-07
author-reported Decision Index (DI) · Classify and make typed decisions45Retrievalmodel author2026-10-07
author-reported Decision Index (DI) · Classify and make typed decisions57.2Toolsmodel author2026-10-07
author-reported Decision Index (DI) · Classify and make typed decisions25.8Artsmodel author2026-10-07
author-reported GPQA Diamond · Reason through hard problems23.8—model author2026-10-07
author-reported GSM8K · Reason through hard problems66.6—model author2026-10-07
author-reported Games ChessBench6.2—model author2026-10-07
author-reported HellaSwag · Chat and follow instructions74.7—model author2026-10-07
author-reported JevBench v1.4.00.88Public accuracy (231)model author2026-10-07
author-reported Knowledge BBH46.5—model author2026-10-07
author-reported Knowledge CLadder29.9—model author2026-10-07
author-reported Knowledge CRUXEval22.1—model author2026-10-07
author-reported Knowledge HLE0—model author2026-10-07
author-reported Knowledge MuSR29.4—model author2026-10-07
author-reported Knowledge SATA-Bench20.7—model author2026-10-07
Show all 38 rows (13 more)
BenchmarkValueSetting / notesReported byDate
author-reported Language ACOS17.5—model author2026-10-07
author-reported Language ANLI43.1—model author2026-10-07
author-reported Language ContractNLI70.6—model author2026-10-07
author-reported Language FinEntity88.1—model author2026-10-07
author-reported Language NLI4CT58.1—model author2026-10-07
author-reported Language RAGTruth46.5—model author2026-10-07
author-reported Language VAST45.1—model author2026-10-07
author-reported Language iSarcasmEval37.9—model author2026-10-07
author-reported MMLU-Pro · Reason through hard problems42.5—model author2026-10-07
author-reported Retrieval Amazon ESCI32.8—model author2026-10-07
author-reported Retrieval CLINC150+OOS64.3—model author2026-10-07
author-reported Terminal-Bench · Write code with agents24.5—model author2026-10-07
author-reported Winogrande · Chat and follow instructions42.5—model author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

The model is a LoRA fine-tune designed to provide calibrated probabilities for typed questions from a single forward pass.[1][2]

  1. lineage kind
  2. “get a calibrated probability for every option from one fo…”

Generated 2026-10-07 15:18 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

8 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: 4,539,261,696 · F32: 3,840
Size bandM
MoEno
Context length262,144 (config.json max_position_embeddings)
LicenseCC BY-NC 4.0 (cc-by-nc-4.0)
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 jpt-4b: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)11 GB · Single GPU (<24 GB)
FP8 (1 byte/param)5.4 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)2.7 GB · Edge (<4 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/Qwen3.5-4B-Base
DI 0.2.1 score43.04 (independent (DI 0.2.1 board))
ECE (board)0.0793
Median latency139.1 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/kirp/jpt-4b

All variants

5 variants

Lineage

Fine-tuned from Qwen/Qwen3.5-4B Family: kirp/jpt 5 derivatives on the Hub

Base model: Qwen/Qwen3.5-4B

quantized: 5

Top variants (5 shown, ranked by downloads)

Quant
5 rows
Variant Relation Quant Params Band License Author Likes Downloads
prithivMLmods/jpt-4b-GGUF quantized GGUF — — cc-by-nc-4.0 prithivMLmods 3 1.4k
DreamBlooms/jpt-4b-GGUF quantized GGUF — — cc-by-nc-4.0 DreamBlooms 0 183
ViniciosLugli/jpt-4b-nvfp4 quantized nvfp4 2.76B M cc-by-nc-4.0 ViniciosLugli 1 39
RepublicOfKorokke/jpt-4b-oQ4e-fp16 quantized -fp16 4.54B M — RepublicOfKorokke 1 38
RepublicOfKorokke/jpt-4b-oQ4e quantized — 4.54B M — RepublicOfKorokke 1 37

Repository changelog

12 commits

Repository changelog 12 commits

DateCommitSHA
2026-09-27 Model card: add JPT-35B-A3B to the family links, JevBench and Decision Index 78312f8
2026-09-27 Model card: Jev 1.13.0 official scores as baseline; Decision Index by area vs Jev 395c19c
2026-09-27 Model card: fix badge anchors 4560c14
2026-09-27 Model card: new layout (charts, badges, Decision Index 0.2.1, versioned benchmarks with references) 4d35e2b
2026-09-27 Decision Index 40.33 -> 39.54 (corrected run: 13,009 rows had been served by JPT-9B) 05285d2
2026-09-25 Add Decision Index 0.2 score 277ae37
2026-09-24 Card: v11 results, NeoHorse head-to-head (JevBench / Kev / OpenJev), image rows; GIFs re-recorded with v11 0ac3499
2026-09-24 JPT-4B v11 weights (v10 + constrained-tradeoff documents): JevBench public 0.879, hard 0.784 13f4884
2026-09-24 Demo GIFs: wrapped text, readable font, square-ish frames 2792573
2026-09-24 Model card with v10 results, JevBench v1.4 comparison, demo GIFs 0d4ec2f
2026-09-24 JPT-4B v10 weights (merged Qwen3.5-4B LoRA, mix_train_env_v10) d4e330b
2026-09-24 initial commit b343d80

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

jpt.spe.org2023-11-19about the jpt familyHN 1 pts · 0 comments258 words
SPE, Aramco Americas, and i2k Connect Inc. signed an MOU to develop an energy-industry specific large language model. The initiative aims to enhance the OnePetro portal, which contains more than 314,000 items from 22 publishing partners, by enabling conversational answers that reference original sources for validation. This tool will allow professionals to extract, analyze, and summarize SPE technical content to reduce decision-making time.written, reviewed, cited

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Sources

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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 15:18 UTC · Last verified 2026-10-25

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