File size: 886 Bytes
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license: apache-2.0
base_model: Qwen/Qwen3.8-27B
library_name: basert
pipeline_tag: text-generation
tags:
- basert
- apple-silicon
- quantized
---
# Qwen3.8-27B
[BaseRT](https://github.com/basecompute/baseRT) `.base` builds of [`Qwen/Qwen3.8-27B`](https://huggingface.co/Qwen/Qwen3.8-27B) for fast local inference on Apple Silicon (Metal).
A dense 27B vision-language reasoning model with hybrid attention (Gated DeltaNet + periodic full attention). Q4 needs ~24 GB Apple Silicon (tight); Q8 needs 48 GB+.
## Files
| File | Precision | Size |
|------|-----------|------|
| `Qwen3.8-27B-Q4.base` | 4-bit | 17 GB |
| `Qwen3.8-27B-Q8.base` | 8-bit | 28 GB |
## Usage
```bash
curl -LsSf https://basecompute.co/install.sh | sh
basert pull basecompute/Qwen3.8-27B
basert chat basecompute/Qwen3.8-27B
```
Released under the apache-2.0 license, inherited from the base model.
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