NotRIK/Veya-4B-GGUF
text-generation model by NotRIK
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Model card & documentation
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Created by NotRIK Veya 4B is a fine-tuned language model based on Qwen3-4B-Base. It is not trained from scratch. It is designed as the language-model component of the Veya local AI assistant project. The model was fine-tuned using: The LoRA adapter was merged into the FP16 base model. The training notebook includes dataset validation and a held-out 28-item automatic evaluation benchmark. The bundled dataset is a small seed dataset intended for pipeline validation. No claim of large-scale training or benchmark-proven improvement is made here. Veya uses a hybrid thinking policy. Reasoning, mathematics and planning examples use thinking blocks. Other responses use an empty thinking block. Veya can generate structured requests for an external agent runtime, including: The model does not execute device actions by itself. A separate runtime must interpret requests, enforce permissions and execute approved actions. Quantized GGUF files are being published in…
Read the full model card ↗ · Preview checked 2026-11-12T08:58:12.216Z
Inside the original model card — Document outline
- Veya 4B
- Model details
- Training
- Thinking mode
- Structured tool protocol
- GGUF downloads
- Usage
- Limitations
- Credits and attribution
- 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
NotRIK/Veya-4B-GGUF is a text-generation model repository published by NotRIK 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
- text-generation
- Library
- transformers
- 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
- 2026-11-12T06:53:56.000Z
- Last modified
- 2026-11-12T06:56:51.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3-4B-Base
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 2026-11-12T06:57:10.640Z. Daily imports are snapshots, not real-time monitoring.
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