Qwen2.5-VL-7B-Instruct-MLX-6bits

1
7.0B
2 languages
license:apache-2.0
by
moot20
Image Model
OTHER
7B params
New
1 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary

moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits This model was converted to MLX format from [`Qwen/Qwen2.5-VL-7B-Instruct`]() using mlx-vlm version 0.1.12. Refer to the...

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Code Examples

Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
pip install -U mlx-vlm
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model moot20/Qwen2.5-VL-7B-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image>

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.