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chatback-ai-models
Chazzo2008/chatback-ai-models
chatback-ai-models is a machine learning model from Chazzo2008. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Stable mirrors of on-device AI models used by the ChatBack Android app. All inference runs 100% locally on the user's device — no data is sent to any server.
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.litertlm18.2 GB · 67%
At a glance
- Access
- Public
- Created
- Apr 16, 2026
- Updated
- Aug 19, 2026
- SHA
- 6b0e18ea
Model card
From the Hugging Face model README
ChatBack AI Model Mirror
Stable mirrors of on-device AI models used by the ChatBack Android app. All inference runs 100% locally on the user's device — no data is sent to any server.
See NOTICE.md for full attribution and licensing.
Models
Base Model (Required)
| Model | File | Size | License |
|---|---|---|---|
| Gemma 3 1B-IT (q4_block128, ekv4096, LiteRT) | gemma3-1b/Gemma3-1B-IT_multi-prefill-seq_q4_block128_ekv4096.task | ~556 MB | Gemma Terms of Use |
Powers all chatroom AI features: smart replies, tone warnings, draft assistant, auto-translation, summarisation, and AI Chat (when no large model is activated). True 4 096-token KV cache baked into the .task file. Fast, low-RAM (~2 GB+), GPU/NPU-accelerated via LiteRT.
AI Chat Upgrade (Optional — requires base model)
| Model | File | Size | License |
|---|---|---|---|
| Gemma 4 E2B-IT (LiteRT) | gemma4-e2b/gemma-4-E2B-it.litertlm | ~2.5 GB | Gemma Terms of Use |
| Gemma 4 E2B-IT Abliterated (NSFW, LiteRT) | gemma4-e2b/Gemma-4-E2B-it-abliterated.litertlm | ~2.5 GB | Gemma Terms of Use |
Best AI Chat quality. Loaded only while AI Chat is open; base model restores automatically when you leave AI Chat. Requires 3 GB+ RAM. The abliterated variant has safety alignment removed and is only visible when NSFW mode is enabled in the app.
Text-to-Speech
| Model | Size | License |
|---|---|---|
| Piper TTS — Amy, Lessac, LibriTTS-R, Ryan, Joe (ONNX medium) | ~178 MB total | MIT |
| Kokoro TTS English v1.0 (q8f16 ONNX, 28 voices) | ~100 MB | Apache 2.0 |
Kokoro uses mixed int8-weight/float16-activation quantization for better audio quality vs pure int8. The app uses its own Java IPA phonemizer — no espeak-ng dependency.
Download URLs used by the app
# Base model
https://huggingface.co/Chazzo2008/chatback-ai-models/resolve/main/gemma3-1b/Gemma3-1B-IT_multi-prefill-seq_q4_block128_ekv4096.task
# Large model upgrade
https://huggingface.co/Chazzo2008/chatback-ai-models/resolve/main/gemma4-e2b/gemma-4-E2B-it.litertlm
# Large model — NSFW abliterated variant
https://huggingface.co/Chazzo2008/chatback-ai-models/resolve/main/gemma4-e2b/Gemma-4-E2B-it-abliterated.litertlm
- Created
- Apr 16, 2026
- Updated
- Aug 19, 2026