GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

startlux-models/StartLux-Decision-v1-27B-BF16-GGUF overview

StartLux Decision v1 27B BF16 GGUF StartLux Decision v1 27B https://huggingface.co/startlux models/StartLux Decision v1 27B in BF16 16 bit as a GGUF file for l…

ggufqwen3_5llama.cppdecision-modeltyped-decisionsbase_model:startlux-models/StartLux-Decision-v1-27Bbase_model:quantized:startlux-models/StartLux-Decision-v1-27Blicense:cc-by-nc-4.0endpoints_compatibleregion:usconversational

Runs locally from ~50.11 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).

Downloads
4,160
Likes
0
Pipeline
—

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
StartLux-Decision-27B-BF16.ggufGGUFBF1650.11 GBDownload

Model Details

Model IDstartlux-models/StartLux-Decision-v1-27B-BF16-GGUF
Authorstartlux-models
Pipeline—
Licensecc-by-nc-4.0
Base modelstartlux-models/StartLux-Decision-v1-27B
Last modified2026-10-10T18:46:47.000Z

Model README

---

license: cc-by-nc-4.0

base_model: startlux-models/StartLux-Decision-v1-27B

base_model_relation: quantized

tags:

  • gguf
  • llama.cpp
  • decision-model
  • typed-decisions

---

StartLux-Decision-v1-27B-BF16-GGUF

StartLux-Decision-v1-27B in BF16 (16-bit) as a GGUF file for

llama.cpp. The decision server in this repository turns it into the same typed decisions, with a probability for every

option, as the original model.

Precisions

<div align="center">

| Repository | Bits | Size | Same decision as the original | JevBench public, of 231 | |

|:---:|:---:|:---:|:---:|:---:|:---:|

| StartLux-Decision-v1-27B-Q8_0-GGUF | 8-bit | 28.60 GB | 100.0% | 209 (90.5%) | recommended |

| StartLux-Decision-v1-27B-Q4_K_M-GGUF | 4-bit | 16.55 GB | 96.5% | 208 (90.0%) | smallest |

| StartLux-Decision-v1-27B-BF16-GGUF (this repository) | 16-bit | 53.81 GB | 100.0% | 209 (90.5%) | the original weights, unchanged |

| StartLux-Decision-v1-27B (original weights) | | | | 209 (90.5%) | for comparison |

</div>

"Same decision" is the share of the 231 public JevBench items on which the file picks the same answer as the original

weights run through the startlux_decision package, with the same prompts, readout and temperatures. Q8_0 and Q4_K_M

are llama.cpp's standard quantizations of BF16, without an importance matrix.

Download and run

hf download startlux-models/StartLux-Decision-v1-27B-BF16-GGUF --local-dir StartLux-Decision-v1-27B-BF16-GGUF
cd StartLux-Decision-v1-27B-BF16-GGUF
pip install -r requirements.txt                     # transformers and torch; a CPU build of torch is enough

# llama.cpp serves the weights; the decision server puts the prompt format, readout and calibration on top
llama-server -m StartLux-Decision-27B-BF16.gguf -ngl 99 -c 16384 --parallel 4 --port 8081 &
python -m startlux_decision.gguf_server --model-dir . --llama http://127.0.0.1:8081 --port 8090

-ngl 99 puts every layer on the GPU (CUDA or Metal); leave it out on a CPU-only machine. llama.cpp has to be recent

enough for this model (build b10454 or newer).

Requests and responses use the TypeSafe /v1/systemone format:

curl -s localhost:8090/v1/systemone -H 'Content-Type: application/json' -d '{
  "state": {"ticket": "I was charged twice for order #4411 and the app still shows it as unpaid."},
  "questions": {
    "team":   {"type": "choice", "instructions": "Which team should handle this ticket?",
               "criteria": {"billing": "Payments, refunds and invoices",
                            "shipping": "Delivery and tracking",
                            "technical": "App, login and account problems"}},
    "urgent": {"type": "noul", "instructions": "Should this ticket be answered today?"}
  }
}'

Plain chat with a GGUF file does not give these decisions: the option-letter readout and the per-type temperatures live

in gguf_server.py, not in the weights. The file holds the text decoder only.

License

The model weights are released under CC BY-NC 4.0: free for

research and other non-commercial use, with attribution. Commercial use requires a separate license from

StartLux Labs; contact contact@startlux.com. The inference code in

startlux_decision/ is Apache-2.0. See LICENSE and NOTICE.

Run startlux-models/StartLux-Decision-v1-27B-BF16-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models