FluidInference/kev-0.8b-coreml
text-classification model by FluidInference
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Model card & documentation
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Core ML export of jaredpalmer/kev-0.8b (Jared Palmer, Apache-2.0): Kev's LoRA folded into Qwen/Qwen3.5-0.8B-Base in fp32 with Kev's own loader, plus Kev's pointer head. Kev answers questions about a piece of text (a state): multiple choice, yes/no, or a score, with calibrated probabilities. fp16, GPU (cpuAndGPU), iOS 18 / macOS 15. Swift: KevFastManager in FluidUse (own Qwen BPE tokenizer, exact against Hugging Face tokenizers). The state's tokens come first, then every question packed end to end. A segment mask keeps each question from seeing the others: it is the attention mask, the local decay of the Gated DeltaNet layers, and the triangle of their WY solve, so every question restarts from the state exactly as if it were its own row. Everything except the delta-rule core runs once over all positions. Kev's own benchmark, unchanged, scored the row packages against Kev's fp32 PyTorch model on the development splits: The fused pass…
Read the full model card ↗ · Preview checked 2026-09-26T07:42:46.820Z
Inside the original model card — Document outline
- Kev-0.8B for Core ML
- Files
- How the fused call works
- Fidelity
- Speed and memory against the original model
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Model overview
FluidInference/kev-0.8b-coreml is a text-classification model repository published by FluidInference on Hugging Face. The source reports the coreml library.
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Model facts
- Task
- text-classification
- Library
- coreml
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-26T06:28:33.000Z
- Last modified
- 2026-09-26T06:30:41.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: jaredpalmer/kev-0.8b
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:45.751Z. Daily imports are snapshots, not real-time monitoring.
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