Up to date
kirp CC BY-NC 4.0 out 31 days ago
853M 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 847 · #595 of 619 tracked
Picked by rule from 1 tracked piece: the lab's own post, the most shared, a field report, the latest.
SPE, Aramco Americas, and i2k Connect Inc. signed an MOU to develop an energy-industry specific large language model.
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: 2 quantized builds and 6 Spaces.
Top Spaces running it: multimodalart/jev-decision-index ♥ 802
Weights only, an estimate: leave room for the KV cache. Method
About 0.5 GB at INT4, 1.0 GB at FP8, 2.0 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2026-09-24), amber triangles are 1 dated article (each links to it), grey ticks are repo commits.
2 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
| Benchmark | Value | Setting / notes | Reported by | Date |
|---|---|---|---|---|
| author-reported JevBench v1.4.0 | 0.74 | Public accuracy (231) | model author | 2026-10-07 |
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.
Listed in Decision models
| Pipeline tag | image-text-to-text |
|---|---|
| Library | transformers |
| Architectures | Qwen3_5ForConditionalGeneration |
| Model type | qwen3_5 |
| Dtype | bfloat16 |
| Params by dtype | BF16: 852,983,328 · F32: 2,592 |
| Size band | S |
| MoE | no |
| Context length | 262,144 (config.json max_position_embeddings) |
| License | CC BY-NC 4.0 (cc-by-nc-4.0) |
| Hub snapshot | 2026-10-25 |
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.
Weights-only memory for jpt-0.8b: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 2.0 GB · Edge (<4 GB) |
|---|---|
| FP8 (1 byte/param) | 1.0 GB · Edge (<4 GB) |
| INT4 (0.5 bytes/param) | 0.5 GB · Edge (<4 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
| How it was made | LoRA/adapter fine-tune |
|---|---|
| Lineage bucket | F - fine-tune of an open model (public/synthetic data) |
| Lineage evidence | board file inspection (adapter/head/weight files) + HF base_model field |
| Base model | Qwen/Qwen3.5-0.8B-Base |
| DI 0.2.1 score | 19.22 (independent (DI 0.2.1 board)) |
| ECE (board) | 0.0688 |
| Median latency | 117.5 ms (DI board, 1x RTX PRO 6000, single process) |
| Hosted price (input) | self-hosted/M |
| Source | https://huggingface.co/kirp/jpt-0.8b |
Base model: Qwen/Qwen3.5-0.8B
quantized: 2
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| RepublicOfKorokke/jpt-0.8b-oQ8e | quantized | — | 853M | S | — | RepublicOfKorokke | 0 | 27 |
| RepublicOfKorokke/jpt-0.8b-oQ8e-fp16 | quantized | -fp16 | 853M | S | — | RepublicOfKorokke | 0 | 23 |
| Date | Commit | SHA |
|---|---|---|
| 2026-09-27 | Model card: JPT-9B JevBench public 0.853 measured with the JevBench CLI | 1431c05 |
| 2026-09-27 | Model card: add JPT-35B-A3B to the family links, JevBench and Decision Index | 05f0c42 |
| 2026-09-27 | Model card: Jev 1.13.0 official scores as baseline; Decision Index by area vs Jev | 05baeec |
| 2026-09-27 | Model card: fix badge anchors | 8b2a97c |
| 2026-09-27 | Model card: new layout (charts, badges, Decision Index 0.2.1, versioned benchmarks with references) | d5a1e3b |
| 2026-09-25 | Add Decision Index 0.2 score | 5921ae0 |
| 2026-09-24 | Model card | 633de4d |
| 2026-09-24 | JPT-0.8B v11 weights (merged Qwen3.5-0.8B LoRA, mix_train_env_v11) | 89ac557 |
| 2026-09-24 | initial commit | feb00dc |
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.
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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