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Test_1
pefanis27/Test_1
Test_1 is a text generation model from pefanis27. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Fine-tuned version of Qwen/qwen2.5-coder-1.5b-instruct for Python code generation, trained with LoRA.
Access
Public
Updated Mar 28, 2026
Repo size
159 MB
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0
Public
Repo makeup
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.safetensors148 MB · 93%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026
- SHA
- daacab33
Base models
Model card
From the Hugging Face model README
Test_1
Fine-tuned version of Qwen/qwen2.5-coder-1.5b-instruct for Python code generation, trained with LoRA.
Model Info
- Base model: Qwen/qwen2.5-coder-1.5b-instruct
- Training date: 2026-03-28
- Uploaded by: pefanis27
- Trained with: LLM Training Studio (PySide6)
Training Details
| Parameter | Value |
|---|---|
| Base model | Qwen/qwen2.5-coder-1.5b-instruct |
| Epochs | 1 |
| Learning rate | 0.0002 |
| Max length | 8192 |
| Micro batch size | 1 |
| LoRA r | 32 |
| LoRA alpha | 64 |
| LoRA dropout | 0.05 |
| GPU profile | RTX 3060 12GB (ασφαλές) |
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("pefanis27/Test_1")
model = AutoModelForCausalLM.from_pretrained("pefanis27/Test_1", device_map="auto")
prompt = "Write a Python function that..."
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=512, temperature=0.7, top_p=0.9)
print(tokenizer.decode(output[0], skip_special_tokens=True))
License
This model is released under the apache-2.0 license.
- Task
- Text Generation
- License
- apache-2.0
- Languages
- el, en
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026