TakamaruAI/Skala
text-classification model by TakamaruAI
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Model card & documentation
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Skala classifies chat, agent, and tooling prompts into three difficulty tiers to help routers select an appropriate model for each request. Its 23.2 MB model delivers median CPU inference latency as low as 2.65 ms. Skala combines a linear classifier over lexical and structural features with semantic embeddings from a pruned, int8-quantised variant of all-MiniLM-L6-v2, trained on 6,948 English prompts. Skala was trained on 6,948 English prompts, 1,698 sourced from the Nasim435/Multi-label-Prompt-Dataset and 5,250 generated and labelled by two open-weight models, google/gemma-4-26B-A4B and Qwen/Qwen3.8-27B. Evaluation covers behavioural test suites and held-out prompts. The 350-prompt set was evaluated using out-of-fold predictions, where each prompt was scored…
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Inside the original model card — Document outline
- Skala
- A prompt-difficulty classifier for simple, medium, and complex model routing.
- Architecture
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- Performance
- Runtime footprint
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- Core dependencies:
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Model overview
TakamaruAI/Skala is a text-classification model repository published by TakamaruAI on Hugging Face. A library was not reported.
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Model facts
- Task
- text-classification
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-22T06:39:36.000Z
- Last modified
- 2026-10-22T06:42:45.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: sentence-transformers/all-MiniLM-L6-v2
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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.
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