README.md

metadata

license: apache-2.0
base_model: Qwen/Qwen3.5-2B
tags:
  - tflite
  - on-device
  - qwen
  - mobile
  - gated-deltanet

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

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 model	Qwen/Qwen3.5-2B
Layers	24 total: 18× GatedDeltaNet linear + 6× GQA full attention
Quantization	int8 dynamic
Format	TFLite (.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