Instructions to use zerodegress/Index-Translate-2B-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use zerodegress/Index-Translate-2B-MLX-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Index-Translate-2B-MLX-bf16 zerodegress/Index-Translate-2B-MLX-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Index-Translate-2B-MLX-bf16
Unquantized MLX (bfloat16) export of IndexTeam/Index-Translate-2B — the same weights in MLX's safetensors layout. Re-encoded only; no retraining, no fine-tuning.
Text translation only: the upstream checkpoint's vision tower and MTP head are not included. Runs with mlx-lm on Apple Silicon; not a llama.cpp / GGUF model.
Files
| file | bytes | sha256 |
|---|---|---|
model.safetensors |
3,763,691,809 | d58283244c9691eb68f39a91a0189b0f03469d66f1d951952a2fca4fd97eb43d |
Plus config.json, tokenizer.json, tokenizer_config.json, vocab.json, merges.txt,
generation_config.json (copied from upstream), and MANIFEST.json (conversion record).
Attribution
Weights: IndexTeam/Index-Translate-2B (apache-2.0) · family repo. This release only re-encodes the upstream weights; no new rights are claimed.
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Model size
2B params
Tensor type
BF16
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Hardware compatibility
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Base model
IndexTeam/Index-Translate-2B