Zero-Shot Classification
MLX
Safetensors
qwen3_5
clef
cloudflare
systemone
structured-output
classification
multimodal
custom-code
decision-model
Eval Results
4-bit precision
Instructions to use mlx-community/clef-flash-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/clef-flash-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/clef-flash-4bit --local-dir clef-flash-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add Typed Decisions benchmark results
#2
by codelion - opened
.eval_results/typed-decisions.yaml
ADDED
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: accuracy
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value: 0.701
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source:
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url: https://huggingface.co/datasets/LocalLLaMA/typed-decisions
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name: Typed Decisions leaderboard (README)
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user: LocalLLaMA
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notes: "General model (any question schema at request time), not fitted by us on this benchmark's train split. Scored on the full 400-case test split (2,000 decisions): one request per case with all five questions, text only, the benchmark's own metrics, MLX on an Apple M3 Max."
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: kl_from_gold
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value: 0.2126
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source:
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url: https://huggingface.co/datasets/LocalLLaMA/typed-decisions
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name: Typed Decisions leaderboard (README)
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user: LocalLLaMA
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notes: "General model (any question schema at request time), not fitted by us on this benchmark's train split. Scored on the full 400-case test split (2,000 decisions): one request per case with all five questions, text only, the benchmark's own metrics, MLX on an Apple M3 Max."
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: brier
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value: 0.1104
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source:
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url: https://huggingface.co/datasets/LocalLLaMA/typed-decisions
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name: Typed Decisions leaderboard (README)
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user: LocalLLaMA
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notes: "General model (any question schema at request time), not fitted by us on this benchmark's train split. Scored on the full 400-case test split (2,000 decisions): one request per case with all five questions, text only, the benchmark's own metrics, MLX on an Apple M3 Max."
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- dataset:
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id: LocalLLaMA/typed-decisions
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task_id: ece
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value: 0.1204
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source:
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url: https://huggingface.co/datasets/LocalLLaMA/typed-decisions
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name: Typed Decisions leaderboard (README)
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user: LocalLLaMA
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notes: "General model (any question schema at request time), not fitted by us on this benchmark's train split. Scored on the full 400-case test split (2,000 decisions): one request per case with all five questions, text only, the benchmark's own metrics, MLX on an Apple M3 Max."
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