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paulsp94/Qwen3.5-2B-TFLite

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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Model Card

Qwen 3.5 2B — TFLite (.tflite)

Qwen 3.5 2B as raw TFLite format for on-device inference with the TFLite Interpreter API.

For LiteRT-LM Engine usage, use the bundled version instead: [paulsp94/Qwen3.5-2B-LiteRT-LM](https://huggingface.co/paulsp94/Qwen3.5-2B-LiteRT-LM)

What's this

Raw .tflite model file — use this if you're building your own inference pipeline with the TFLite Interpreter API directly. If you want the ready-to-use LiteRT-LM bundle with tokenizer included, use the LiteRT-LM version instead.

Architecture

Base modelQwen/Qwen3.5-2B
Layers24 total: 18× GatedDeltaNet linear + 6× GQA full attention
Quantizationint8 dynamic
FormatTFLite (.tflite)
Size~1.9 GB

Files

  • —qwen35_2b.tflite — The converted model
  • —tokenizer.json — BPE tokenizer (you'll need to handle tokenization yourself)
  • —tokenizer_config.json — Tokenizer configuration
  • —config.json — Original model config

Conversion

Source: allot/tools/model-export