Qwen3.5-2B-Base Q4+Q8 .base bundles (vision tower included)

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+Qwen3.5-2B-Base-Q4.base filter=lfs diff=lfs merge=lfs -text
+Qwen3.5-2B-Base-Q8.base filter=lfs diff=lfs merge=lfs -text

Qwen3.5-2B-Base-Q4.base

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+oid sha256:ef10005ccd4c6bd3e2d9fbcac31b7f4491eff2639584bdc8006e67226f63d986
+size 1266810880

Qwen3.5-2B-Base-Q8.base

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f546b5074d92f104453a782a44143f3a44ed538569befdc7e2ff22675c719a30
+size 2301460480

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3.5-2B-Base
+library_name: basert
+pipeline_tag: text-generation
+tags:
+  - basert
+  - apple-silicon
+  - quantized
+  - multimodal
+---
+
+# Qwen3.5-2B-Base
+
+[BaseRT](https://github.com/basecompute/baseRT) `.base` builds of [`Qwen/Qwen3.5-2B-Base`](https://huggingface.co/Qwen/Qwen3.5-2B-Base) for fast local inference on Apple Silicon (Metal).
+
+This is the **pretrained base model** (no instruction tuning) — use it for completion-style prompting, research, or fine-tuning baselines. For chat, use [`basecompute/Qwen3.5-2B`](https://huggingface.co/basecompute/Qwen3.5-2B). Hybrid attention (Gated DeltaNet + periodic full attention) with a native vision tower; image inputs work via completion prompts.
+
+## Files
+
+| File | Precision | Size |
+|------|-----------|------|
+| `Qwen3.5-2B-Base-Q4.base` | 4-bit | 1.3 GB |
+| `Qwen3.5-2B-Base-Q8.base` | 8-bit | 2.3 GB |
+
+## Usage
+
+```bash
+curl -LsSf https://basecompute.co/install.sh | sh
+basert pull basecompute/Qwen3.5-2B-Base
+basert complete basecompute/Qwen3.5-2B-Base --prompt "The capital of France is"
+```
+
+Released under the apache-2.0 license, inherited from the base model.

config.json

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+{
+  "library_name": "basert",
+  "format": "base"
+}