license: apache-2.0 library_name: litert-lm tags:

• litert
• litert-lm
• on-device
• qwen2.5
• uncensored
• android
• mediapipe base_model:
• thirdeyeai/Qwen2.5-1.5B-Instruct-uncensored
• Qwen/Qwen2.5-Coder-1.5B-Instruct pipeline_tag: text-generation

Qwen2.5-1.5B-Instruct-uncensored (LiteRT-LM)

On-device LiteRT-LM (.litertlm) conversion of thirdeyeai/Qwen2.5-1.5B-Instruct-uncensored for Google AI Edge LiteRT-LM / MediaPipe on-device runtimes (Android & desktop).

Files

Source

• Fine-tune: thirdeyeai/Qwen2.5-1.5B-Instruct-uncensored (BF16 safetensors, Qwen2)
• Upstream base: Qwen/Qwen2.5-Coder-1.5B-Instruct (Apache-2.0)

Conversion method

litert-torch export_hf \
  /path/to/thirdeyeai/Qwen2.5-1.5B-Instruct-uncensored \
  ./out \
  --quantization_recipe=dynamic_wi8_afp32 \
  --cache_length=1280 \
  --prefill_lengths=128 \
  --externalize_embedder \
  --bundle_litert_lm

• Tool: litert-torch 0.9.4 Hugging Face Export (export_hf)
• Quantization: dynamic_wi8_afp32 (per-channel INT8 weights, FP32 activations)
• KV cache: 1280
• Prefill signature: 128
• Embedder externalized (Qwen embedding / lm_head packaging)
• Runtime target: LiteRT-LM ≥ 0.17

Intended use

On-device chat (Android LiteRT-LM). Community conversion — not affiliated with Alibaba Cloud or the Qwen team. The source fine-tune is labelled uncensored; use at your own discretion.

License

Apache-2.0 (inherited from Qwen2.5). This repo only redistributes converted weights + packaging.