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jaredpalmer/Kev 4B
- License: Apache-2.0
- Release date: 2026-09-24 (Kev 1.0 checkpoint, as documented in the original model card)
- Modalities: Input: text; Output: typed decisions (
choice,score,noul) - Original model: jaredpalmer/kev-4b
Description
Kev reads a document (the state) and typed questions, returning calibrated probabilities over the supplied options in one forward pass without generating text. This model uses a LoRA adapter and a pointer head on Qwen3.5-4B-Base. It is intended for document classification, routing, triage, and checks where probability thresholds can direct uncertain cases to human review.
Run
bash
self serve kev:4bHere is a link to the API docs: Decision API.
Example Request
With the server running, open another terminal and send a request:
bash
curl http://localhost:8080/v1/systemone \
-H 'Content-Type: application/json' \
-d '{
"state": "I was charged twice for the same order.",
"questions": {
"department": {
"type": "choice",
"instructions": "Which department should handle this support ticket?",
"criteria": {
"billing": "Payments and refunds",
"technical": "Technical problems"
}
}
}
}'The server returns a JSON decision for the department question.
Engine Parameters
Served by the upstream laya daemon through the ggmlc-laya adapter.
| Parameter | Default | What it controls |
|---|---|---|
threads | 4 | Number of CPU workers; accepts integers from 1 to 1024. |
cuda_graph | true for auto / CUDA devices; otherwise false | Capture a CUDA graph for the live request shape. |
Override startup settings with --set <parameter>=<value>.
Quantizations and Files
Default variant: q4. Sizes and SHA-256 hashes are pinned in the model registry.
q4 (default)
| File | Role | Size | SHA-256 | Origin |
|---|---|---|---|---|
kev_4b_ud_q4_k_m.gguf | model | 3.9 GiB (4211035872 bytes) | f2b31aa5a3c0f75f22f034f0452a8d7553d583c77b2783926f3ba1682143b92b | mys/kev-4b-GGUF |
Total download: 3.9 GiB.
q8
| File | Role | Size | SHA-256 | Origin |
|---|---|---|---|---|
kev_4b_q8_0.gguf | model | 4.2 GiB (4498493152 bytes) | 51c9353a5ff0b8e2f7cd7262359c0b26ea54b327214fe26a5da52b505b2978e8 | mys/kev-4b-GGUF |
Total download: 4.2 GiB.
fp16
| File | Role | Size | SHA-256 | Origin |
|---|---|---|---|---|
kev_4b_f16.gguf | model | 7.9 GiB (8441712352 bytes) | 72fa1c764c99b9683d82333943224fceba094a3bce2426a651f2e23c34a9127e | mys/kev-4b-GGUF |
Total download: 7.9 GiB.
Notes
- Text only; up to 16 options per question.
- Context and option limits are compiled into the GGUF and cannot be changed at runtime.
- Download size is not the total runtime memory requirement.
- Origin links use
mainbecause these registry entries pin hashes, not repository revisions.
Quality benchmarks
Decision Index: #84 (39.50)
jaredpalmer/kev-4b
Published result for the named upstream model and evaluated configuration; checkpoint revision and local quantization equivalence are not guaranteed.
Evaluated: kev-4b-r10
Edition: Decision Index 0.3.2
Checked 2026-10-13
Typed Decisions: Publisher-reported
jaredpalmer/kev-4b
Winnow publisher comparison of Kev-4B BF16 using pinned author runtime, 400 cases / 2000 decisions. Evaluated release may differ from current upstream; teacher agreement, not correctness or an official rank.
| Dataset | Metric | Score |
|---|---|---|
| LocalLLaMA/typed-decisions (test) | Teacher agreement (%) | 65.75 |
Hugging Face model-card evaluations: Publisher-reported
jaredpalmer/kev-4b
Publisher-reported upstream checkpoint; not an independent rank or local quantization
Checked 2026-10-13
| Dataset | Metric | Score |
|---|---|---|
| transfer-v4 test: six never-trained public sources and held-out policy structures (656 questions) | accuracy | 0.84 |
| transfer-v4 test: six never-trained public sources and held-out policy structures (656 questions) | brier_score | 0.22 |
| breadth-v1 test: 14 held-out public datasets (3,089 questions) | accuracy | 0.69 |
| tasksource-heldout-v1 development: 17 of 24 held-out task families (1,993 questions) | accuracy | 0.68 |
| hard-v1 test (1,088 questions; programmatic labels, held-out templates) | accuracy | 0.80 |
| hard-v1 test (1,088 questions; programmatic labels, held-out templates) | brier_score | 0.28 |
| devtools-v1 test (1,071 questions; six public developer-tooling sources) | accuracy | 0.76 |
| devtools-v1 test (1,071 questions; six public developer-tooling sources) | brier_score | 0.34 |
Benchmarks
No submitted benchmark reports yet.