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Qwen2_5_7B_hnm
Omarrran/Qwen2_5_7B_hnm
Qwen2_5_7B_hnm is a text generation model from Omarrran. Use it when you need the model to write or continue text. It is set up for adapter-transformers. The card lists the license as apache-2.0.
- Developed by: Haq Nawa Malik - License: apache-2.0
Access
Public
Updated Mar 14, 2025
Repo size
30.5 GB
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1
Public
Repo makeup
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At a glance
- Task
- Text Generation
- Library
- adapter-transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025
- SHA
- 4d12a999
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Base models
Datasets
Model card
From the Hugging Face model README
Uploaded model
- Developed by: Haq Nawa Malik
- License: apache-2.0
Key Features
- Unsloth: Leverages Unsloth for efficient and faster fine-tuning.
- 4-bit Quantization: Utilizes 4-bit quantization to reduce memory usage and improve performance.
- LoRA Adapters: Employs LoRA adapters to update only a small percentage of parameters.
- Hugging Face TRL: Uses the
SFTTrainerfrom TRL for supervised fine-tuning. - Alpaca Dataset: Trains on the
yahma/alpaca-cleaneddataset.
Model Card Details
Model Name: Omarrran/Qwen2_5_7B_hnm
Dataset: yahma/alpaca-cleaned
Training Method: Supervised Fine-Tuning with LoRA adapters.
Quantization: 4-bit quantization.
Training Steps: 90 steps (adjust for full training runs).
LoRA Parameters: r=16, lora_alpha=16, lora_dropout=0, bias="none".
Maximum Sequence Length: 2048 tokens
- Task
- Text Generation
- Library
- adapter-transformers
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025