JohnP1/d1a-e2b-it-qat-mlx-q4
text-classification model by JohnP1
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Model card & documentation
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What it does: decisions (/v1/systemone), chat (OpenAI-format /v1/chat/completions, streaming included), and photos, voice clips and video (/v1/systemone/media). One model on Apple Silicon (MLX), 2.7 GB plus 1.0 GB of encoders. The recommended D1A-E2B-it build: it replaces D1A-E2B-it v0.6 by the owner's decision of 2026-10-25. It is better at D1A's own jobs (PR labels, routing, hard decisions), 11% faster, 4-bit and able to chat. D1A's release rule vetoes it on transfer-v4 (task types it never trained on, −5.2 points), which is shown below; pin JohnP1/d1a-e2b-it@v0.6 where that matters. A small decision model for Apple Silicon: give it a document and a few questions, and it picks the answers. Each question is yes/no, multiple choice or a score; D1A returns a calibrated probability for every option in one forward pass, with no generated text, so every answer is a valid option. This build sits exactly on Google's quantization-aware-trained int4 weights, google/gemma-4-E2B-it-qat-w4a16-ct (revision…
Read the full model card ↗ · Preview checked 2026-10-30T00:40:25.786Z
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Model overview
JohnP1/d1a-e2b-it-qat-mlx-q4 is a text-classification model repository published by JohnP1 on Hugging Face. The source reports the mlx library.
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Model facts
- Task
- text-classification
- Library
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 4,628,569,379
- Architecture
- Gemma4ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-25T06:20:45.000Z
- Last modified
- 2026-10-25T06:21:00.000Z
Compatibility and lineage
Reported languages: en, ja
Reported base models: google/gemma-4-E2B-it-qat-w4a16-ct
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 2026-10-25T06:46:38.979Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.