yothinS/Llama-3.2-3B-ORPO-Advertisement
text-generation model by yothinS
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From the publisher
Model card & documentation
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Advertisement Specialist is a domain-specialized language model fine-tuned to assist with advertising strategy, campaign analysis, and performance marketing tasks. Built on top of unsloth/Llama-3.2-3B-Instruct, this model uses Odds Ratio Preference Optimization (ORPO) with parameter-efficient fine-tuning to encourage more useful, relevant, and structured responses for advertising-related tasks. The model is designed to support marketers, advertisers, marketing analysts, and AI developers working with digital advertising campaigns. The model was fine-tuned using the Advertisement Specialist Preference Dataset. The dataset uses the ORPO preference format: This format allows the model to learn preferences between alternative responses rather than relying solely on conventional next-token supervised fine-tuning. The training pipeline combines ORPO with QLoRA to reduce the number of trainable parameters and lower memory requirements. Key components include: The configuration above documents the intended training setup. Actual run settings should be verified against the saved training configuration and logs. This model is intended to serve as…
Read the full model card ↗ · Preview checked 2026-10-30T04:29:28.548Z
Inside the original model card — Document outline
- Advertisement Specialist — ORPO Fine-Tuned Model
- Model Description
- Intended Applications
- Model Details
- Training Methodology
- 1. Dataset
- 2. Fine-Tuning Approach
- 3. Training Configuration
- Intended Use
- Limitations
- Evaluation
- Usage
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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
yothinS/Llama-3.2-3B-ORPO-Advertisement is a text-generation model repository published by yothinS on Hugging Face. The source reports the transformers library.
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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
- LlamaForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-13T06:29:02.000Z
- Last modified
- 2026-10-13T06:32:28.000Z
Compatibility and lineage
Reported languages: en
Reported base models: unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit
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 2026-10-13T06:41:58.956Z. Daily imports are snapshots, not real-time monitoring.
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