Instructions to use MaksimPro/Qwen2.5-7B-Instruct-merged1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaksimPro/Qwen2.5-7B-Instruct-merged1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("unsloth/Qwen2.5-7B-Instruct-bnb-4bit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MaksimPro/Qwen2.5-7B-Instruct-merged1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("unsloth/Qwen2.5-7B-Instruct-bnb-4bit", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MaksimPro/Qwen2.5-7B-Instruct-merged1")
prompt = "-"
image = pipe(prompt).images[0]Qwen2.5-7B-Instruct_merged1

- Prompt
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Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for MaksimPro/Qwen2.5-7B-Instruct-merged1
Base model
Qwen/Qwen2.5-7B Finetuned
Qwen/Qwen2.5-7B-Instruct Quantized
unsloth/Qwen2.5-7B-Instruct-bnb-4bit