VTXAI/VTX-JEV-1
feature-extraction model by VTXAI
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From the publisher
Model card & documentation
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VTX-JEV-1 is a 12.66M-parameter, non-autoregressive System 1 decision model. It reads one state and any number of typed questions, then returns calibrated distributions for choice, score, and noul in one forward pass. It never generates text. The model is built on the dequantized VTXAI/vtx-embed-7M embedding table, then fine-tuned on all 655,806 rows of SargeDev/jev-distill-corpus-v3 for two epochs. The released weights use native blockwise LF4 storage. After cloning/downloading this repository, import inference.py from its root. From a local checkout: The repository contains its own architecture and config code, so no project package is required: The model forward signature is: actlogits is retained for architecture compatibility but is not used by the Jev-style client. All 2D weights are packed as unsigned 4-bit nibbles with one FP16 scale and minimum per 32-value row block. LayerNorm, bias vectors, and temperatures remain floating point. CUDA computes in FP16; CPU computes in FP32. On 3,000 fixed…
Read the full model card ↗ · Preview checked 2026-11-05T23:22:51.280Z
Inside the original model card — Document outline
- VTXAI/VTX-JEV-1
- Highlights
- Jev-style inference
- Transformers architecture loading
- Quantization
- Evaluation
- Training and quantization code
- Intended use
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
VTXAI/VTX-JEV-1 is a feature-extraction model repository published by VTXAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,133,398
- Architecture
- VTXJEVForDecision
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-24T06:12:56.000Z
- Last modified
- 2026-09-24T06:26:45.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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 2026-09-24T06:37:32.927Z. Daily imports are snapshots, not real-time monitoring.
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