Instructions to use kloodia/d1-omni-600m-executorch-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kloodia/d1-omni-600m-executorch-int4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download kloodia/d1-omni-600m-executorch-int4 --local-dir d1-omni-600m-executorch-int4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
d1-omni-600M ExecuTorch INT4 (Localia gate)
Text-only decision gate exported from LiquidAI/d1-omni-600M for on-device command approval.
Files
| Path | Backend | Notes |
|---|---|---|
android/d1_omni_gate_xnnpack_int4.pte |
XNNPACK | Weight-only INT4 (group 32) + fp32 decision head |
ios/d1_omni_gate_mlx_int4.pte |
MLX | Same quant recipe for Apple Silicon |
*/tokenizer.json |
β | Tokenizer assets |
I/O
- Inputs:
input_ids[1,512] long,pad[1,512] bool,marker_pos[1,4] long,marker_mask[1,4] bool,qtype[1] long(0=choice,1=score,2=noul) - Output:
logits[1,4] float(masked unused options β -1e4)
License
LFM Open License v1.0 (same as upstream).
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Model tree for kloodia/d1-omni-600m-executorch-int4
Base model
LiquidAI/LFM2.5-350M-Base Finetuned
LiquidAI/LFM2.5-Encoder-350M Finetuned
LiquidAI/d1-omni-600M