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text-generation
samandar1105/text-generation
text-generation is a text generation model from samandar1105. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
Fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the Databricks Dolly-15k instruction dataset using LoRA (PEFT) + TRL's SFTTrainer.
Access
Public
Updated Jun 30, 2026
Parameters
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1000 MB on disk
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026
- SHA
- 7680ba24
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Base models
Datasets
Model card
From the Hugging Face model README
text-generation
Fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the Databricks Dolly-15k instruction dataset using LoRA (PEFT) + TRL's SFTTrainer.
How to use
from transformers import pipeline
gen = pipeline("text-generation", model="samandar1105/text-generation")
result = gen([{"role": "user", "content": "Write a short poem about the ocean."}], max_new_tokens=200)
print(result[0]["generated_text"][-1]["content"])
Training details
- Base model: Qwen/Qwen2.5-0.5B-Instruct
- Method: LoRA (r=16, alpha=32) via PEFT + TRL SFTTrainer
- Epochs: 3
- Learning rate: 2e-4
- Task
- Text Generation
- Library
- peft
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026