Qwen3.5-2B-Base
> [!Note] > This repository contains model weights and configuration files for the pre-trained only model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc. > > The intended use cases are fine-tuning, in-context learning experiments, and other research or development purposes, not direct interaction. > However, the control tokens, e.g., and w...
Params
2.3 B
Context
—
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 4.5 GB | 5.8 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 2.3 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-02-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-11
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model