Downloads · 30 days
29
8% of all-time downloads
Qwen3.8-27B-MLX-bf16
lesa80/Qwen3.8-27B-MLX-bf16
Qwen3.8-27B-MLX-bf16 is a image-text-to-text model from lesa80. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx-vlm. The card lists the license as apache-2.0.
MLX BF16 (full precision) version of Qwen/Qwen3.8-27B.
All-time downloads
355
Public
Parameters
27.4B
54.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors54.7 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- mlx-vlm
- License
- apache-2.0
- Model type
- qwen3_5
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026
- SHA
- 3e3f14e8
Try a prompt
Base models
Model card
From the Hugging Face model README
Qwen3.8-27B-MLX-bf16
MLX BF16 (full precision) version of Qwen/Qwen3.8-27B.
- 4-bit version: lesa80/Qwen3.8-27B-MLX-4bit
All capabilities preserved:
- ✅ Vision — image + video (27-layer ViT encoder)
- ✅ Reasoning — thinking mode (токены
thinking/response) - ✅ Длинный контекст — 262K токенов
- ✅ Multilingual — русский, английский, китайский
| Property | Value |
|---|---|
| Tensor type | bfloat16 |
| Model size | ~51 GB |
| RAM required | 64+ GB |
| License | Apache 2.0 |
Usage
hf download lesa80/Qwen3.8-27B-MLX-bf16 --local-dir ./qwen-mlx-bf16 --local-dir-use-symlinks False
from mlx_vlm import load, generate
model, processor = load("lesa80/Qwen3.8-27B-MLX-bf16")
output = generate(model, processor, "Describe this image.", image=["image.jpg"])
print(output)
mlx_vlm.generate --model lesa80/Qwen3.8-27B-MLX-bf16 --prompt "Hello" --max-tokens 200
Links
- Task
- Image-Text-to-Text
- Library
- mlx-vlm
- Type
- qwen3_5
- License
- apache-2.0
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026