aufklarer/Clef-flash-9B-MLX-4bit
text-classification model by aufklarer
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Model card & documentation
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Clef-flash is a model from Cloudflare that helps your app choose what to do next. Give it some text and a list of options, and it returns a score for each option. For example, “Please turn the kitchen lights on” can map to “Turn lights on.” Your app can then use that choice to perform the action. This version runs locally on Apple Silicon with MLX and supports text input. The scores show how strongly the model favors each option; a high score does not guarantee a correct answer. Send one request at a time to each loaded model. Native MLX Swift, release build, compiled Metal shaders, Apple M5 Pro, 48 GB unified memory. One 303-token request with three fields: light action, factual-question check, and urgency. Model load is excluded; encoding through materialized probabilities is included. This is a fidelity and timing smoke test, not a broad accuracy benchmark. No…
Read the full model card ↗ · Preview checked 2026-10-03T07:05:41.040Z
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Model overview
aufklarer/Clef-flash-9B-MLX-4bit is a text-classification model repository published by aufklarer on Hugging Face. The source reports the mlx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 8,953,803,264
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-03T06:32:45.000Z
- Last modified
- 2026-10-03T06:33:27.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Cloudflare/clef-flash, TrevorJS/clef-flash-mlx-4bit
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-03T06:39:34.535Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.