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danielamitay/kev-4b-fp32-swev
kev-4b-fp32-swev is a text classification model from danielamitay. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
A Core ML export of jaredpalmer/kev-4b for Swev, a Swift package for local typed decisions. Returns choices, ordinal scores, and probabilities for runtime-defined questions; this export does not generate free-form text.
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From the Hugging Face model README
A Core ML export of jaredpalmer/kev-4b for Swev, a Swift package for local typed decisions. Returns choices, ordinal scores, and probabilities for runtime-defined questions; this export does not generate free-form text.
kev-4b-fp32-swev-l4096-k16.mlpackage (download the entire directory).choice, score, and noul; up to 16 answer options per question and 64 questions per request, evaluated independently.Text-only export. Per-field prompt limits also apply; oversized inputs are rejected rather than silently truncated.
Add Swev as a Swift package dependency, then:
import Swev
let model = try await SwevModel.load(from: HuggingFaceModel(
repository: "danielamitay/kev-4b-fp32-swev",
package: "kev-4b-fp32-swev-l4096-k16.mlpackage"
))
let response = try await model.predict(
state: "apple",
questions: [.noul(id: "edible", instructions: "Is this an edible food?")]
)
print(try response.noul("edible").noul)
The first call downloads the package; later calls reuse Swev’s local download cache. Keep the loaded model resident to avoid recompilation and initialization on each request. See loading and caching and model support. No Python runtime or separate tokenizer/adapter files are required.
Source checkpoint: jaredpalmer/kev-4b at 4ccdc4e88f7a. Tokenizer, formatting, and inference settings are bundled in the package. This is a converted export, not a new fine-tune.
The source adapter and decision head are merged with Qwen/Qwen3-4B-Base. The source inference implementation is Kev. The export uses bounded query blocks for attention while retaining access to all keys.
Conversion tooling and the package contract are documented in Swev’s conversion guide and schema reference. Exported capacity is not a guarantee of task accuracy; evaluate the checkpoint on your own inputs.
Apache License 2.0; see LICENSE. Source model attribution and pinned revisions are listed above. This is an independent Swev-compatible export, not an official release by the original model authors.