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README.md

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+---
+language:
+- en
+- de
+- fr
+- zh
+- pt
+- nl
+- ru
+- ko
+- it
+- es
+license: cc-by-nc-4.0
+tags:
+- mlx
+metrics:
+- comet
+pipeline_tag: translation
+---
+
+# mlx-community/TowerInstruct-v0.1-bfloat16-mlx
+This model was converted to MLX format from [`Unbabel/TowerInstruct-v0.1`]().
+Refer to the [original model card](https://huggingface.co/Unbabel/TowerInstruct-v0.1) for more details on the model.
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/TowerInstruct-v0.1-bfloat16-mlx")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

added_tokens.json

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config.json

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+    "architectures": [
+        "LlamaForCausalLM"
+    ],
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+    "id2label": {
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+        "1": "LABEL_1"
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+    "decoder_start_token_id": null,
+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "/Users/bat/.cache/huggingface/hub/models--Unbabel--TowerInstruct-v0.1/snapshots/3ce0db8d1e9a39ec8999e57798f28c41218dc077",
+    "transformers_version": "4.37.2",
+    "model_type": "llama"
+}

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special_tokens_map.json

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tokenizer_config.json

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