Llama-4-Scout-17B-16E-Instruct-6bit
mlx-community/Llama-4-Scout-17B-16E-Instruct-6bit
Vision + text · transformers
6-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/Llama-4-Scout-17B-16E-Instruct-6bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- meta-llama/Llama-4-Scout-17B-16E (finetune)
- Vendor
- Meta · Llama
- Task
- Vision + text
- Quantisation
- 6-bit
- Licence
- llama4
- Downloads
- 185 in the last 30 days · 12K all time · 5 likes
- Published
- 2025-04-06 · updated 2025-05-03 (1y ago)
- Languages
- ar, de, en, es, fr, hi, id, it, pt, th, tl, vi
- Tags
- llama4, facebook, meta, pytorch, llama, llama-4
Other MLX builds of meta-llama/Llama-4-Scout-17B-16E
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| meta-llama-Llama-4-Scout-17B-16E-4bit | 4-bit | ≈ 60.6 GB | 96 GB+ | 573 |
| meta-llama-Llama-4-Scout-17B-16E-6bit | 6-bit | ≈ 87.6 GB | 128 GB+ | 62 |
| meta-llama-Llama-4-Scout-17B-16E-8bit | 8-bit | ≈ 115 GB | 192 GB+ | 241 |
| meta-llama-Llama-4-Scout-17B-16E-fp16 | fp16 | ≈ 216 GB | 256 GB+ | 67 |
| meta-llama-Llama-4-Scout-17B-16E-bf16 | bf16 | ≈ 216 GB | 256 GB+ | 64 |
| Llama-4-Scout-17B-16E-Instruct-4bit | 4-bit | — | — | 1.9K |
| Llama-4-Scout-17B-16E-Instruct-6bit (this one) | 6-bit | — | — | 185 |
| Llama-4-Scout-17B-16E-Instruct-8bit | 8-bit | — | — | 178 |
| meta-llama-Llama-4-Scout-17B-16E-Instruct-bf16 | bf16 | — | — | 99 |