Apriel-1.5-15b-Thinker-4bit

356
2
1 language
license:mit
by
mlx-community
Language Model
OTHER
15B params
New
356 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
34GB+ RAM
Mobile
Laptop
Server
Quick Summary

mlx-community/Apriel-1.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ 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
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
Use with mlxbash
python -m mlx_vlm.generate --model mlx-community/Apriel-1.5-15b-Thinker-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>

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