Qwen3.5 0.8B and 2B
Instruction-tuned Qwen3.5 text decoders exported for React Native ExecuTorch. Sources: Qwen3.5-0.8B and Qwen3.5-2B. Source revisions and artifact checksums are recorded in the export manifest.
Variants (v0.11.0)
| Model | Backend | Weights | File | Size |
|---|---|---|---|---|
| 0.8B | XNNPACK | 8da4w | 0_8b/xnnpack/qwen_3_5_0_8b_xnnpack_8da4w.pte | 525.1 MiB |
| 0.8B | MLX | int4 | 0_8b/mlx/qwen_3_5_0_8b_mlx_4w.pte | 544.0 MiB |
| 2B | XNNPACK | 8da4w | 2b/xnnpack/qwen_3_5_2b_xnnpack_8da4w.pte | 1233.9 MiB |
| 2B | MLX | int4 | 2b/mlx/qwen_3_5_2b_mlx_4w.pte | 1286.5 MiB |
All variants use a 2,048-token context and a maximum prefill chunk of one token.
Each size uses its own <size>/tokenizer.json and <size>/tokenizer_config.json.
The chat template defaults to non-thinking generation and preserves historical
prefixes when messages are appended.
Both sizes and backends were tested on an Apple M1 Pro, including logits, generation, and cache rewinds. Recurrent-state restoration is handled inside the exported model.
Compatibility
These files target ExecuTorch v1.4.1 and React Native ExecuTorch v0.11.0. MLX requires physical Apple hardware. XNNPACK runs on CPU.
Use the library's models.llm.QWEN3_5_0_8B or models.llm.QWEN3_5_2B entries.
See the downloading models documentation
and ExecuTorch's runtime compatibility note.
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