library_name: litert-lm license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: image-text-to-text base_model:

• huihui-ai/Huihui-gemma-4-E2B-it-abliterated tags:
• gemma-4
• litert-lm
• arm64
• int8
• multimodal
• abliterated
• uncensored

Huihui Gemma 4 E2B Abliterated LiteRT-LM

Multimodal LiteRT-LM conversion of huihui-ai/Huihui-gemma-4-E2B-it-abliterated.

The bundle contains INT8 text prefill/decode, external and per-layer embedders, a Gemma 4 vision encoder, and a vision adapter. It was converted natively on a Linux ARM64 NVIDIA DGX Spark; no x86 emulation was used.

Conversion settings

• LiteRT Torch task: image_text_to_text
• Quantization: dynamic_wi8_afp32 for text and vision
• Prefill signatures: 128, 256, and 512 tokens
• KV cache: 4,096 tokens
• Image soft tokens: 280
• Audio encoder: not included

Usage

litert-lm import \
  Huihui-gemma-4-E2B-it-abliterated.litertlm \
  huihui-gemma4-e2b

litert-lm run huihui-gemma4-e2b \
  --backend gpu \
  --vision-backend gpu \
  --attachment image.png \
  --prompt "Describe this image."

The resulting bundle is approximately 4.9 GiB. Text and image inference were both validated through the LiteRT-LM CLI and its OpenAI-compatible API.

Safety

The source is an abliterated model with substantially reduced refusal behavior. It can produce sensitive, controversial, or inappropriate content. Review its outputs and do not assume that it provides default safety guarantees.