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Alibaba / text + image + video

Qwen3.8 27B

The Qwen3.8 27B checkpoint is published by Alibaba for language and reasoning. Its weights are available under Apache 2.0; that alone does not establish that its code and all components are open source.

When to consider it

Consider this dense 27B model when comparing Qwen text and reasoning checkpoints and your memory budget is above the smaller 9B option.

Check before choosing

The generic 29 GB estimate leaves little room under a 32 GB ceiling for context, batch size or multimodal components.

What is documented

Checkpoint / version
Qwen/Qwen3.8-27B ↗
Weight license
Apache 2.0 ↗
Task and modality
language and reasoning · text + image + video
Count and basis
27B · language component · 27B active
Context
262,144 tokens published for this model
Quality evidence
75.3 · LiveBench 2026-06-25 overall · source ↗
Runtime and precision
No local execution verified. Check the publisher's supported runtime and checkpoint precision; batch and context memory are not measured here.

Run locally: known and unknown

~29 GB generic Q4 planning memory. Formula: parameters × 0.625 bytes, plus 20% working allowance and 8 GB reserve. This is neither measured VRAM nor checkpoint download size.

Q4 planning estimate only. Check checkpoint format, runtime support, KV cache, context, batch size and offload before choosing hardware.

Evidence level: Generic estimate only; no execution reproduced by this site.

Before downloading

  1. Check the exact checkpoint and license linked here.
  2. Confirm a compatible runtime and precision or quantization for your platform.
  3. Allow for context, batch size and any extra media components beyond the weights.

Catalog reviewed: 2026-09-25. Benchmark release: 2026-06-25; snapshot collected: 2026-09-22.