Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
arxiv:2605.22064
oflm
openflowlm
npu2
q4nx
Instructions to use Atomic-Germ/Hy-MT2-1.8B-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atomic-Germ/Hy-MT2-1.8B-NPU2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Atomic-Germ/Hy-MT2-1.8B-NPU2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Atomic-Germ/Hy-MT2-1.8B-NPU2") model = AutoModelForCausalLM.from_pretrained("Atomic-Germ/Hy-MT2-1.8B-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Hy-MT2-1.8B-NPU2
OpenFlowLM Q4NX conversion of tencent/Hy-MT2-1.8B for AMD XDNA NPU inference.
This repository contains a quantized Q4NX port of the model, compiled for the OpenFlowLM (OFLM) runtime. It is not a GGUF file.
| Item | Value |
|---|---|
| Source model | tencent/Hy-MT2-1.8B |
| Source GGUF | Hy-MT2-1.8B-heretic.Q8_0.gguf |
| Weights | model.q4nx (1.50 GB) |
| Modality | language |
| OFLM version | 0.1.0 |
| Converted | 2026-10-01 |
Install and run
This repository works with oflm-add, a small installer that copies the model
into the OpenFlowLM user directory and registers the tag. It never
modifies the system OpenFlowLM install.
pip install oflm-add or uv tool install oflm-add
uv tool install oflm-add
oflm-add Atomic-Germ/Hy-MT2-1.8B-NPU2 --family qwen3.5 --xclbin-from Hy-MT2-1.8B-NPU2
OFLM_CONFIG_PATH="$HOME/.config/oflm/model_list.json" OFLM_XCLBIN_PATH="$HOME/.config/oflm" oflm run Hy-MT2-1.8B-NPU2
Files
| File | Description |
|---|---|
model.q4nx |
Quantized weights (Q8_0 / Q4_1 / BF16) |
config.json |
OFLM runtime configuration |
tokenizer.json |
Tokenizer vocabulary |
tokenizer_config.json |
Tokenizer configuration |
chat_template.jinja |
Chat template |
Source model card
See the original model card: tencent/Hy-MT2-1.8B
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