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README.md

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+---
+library_name: transformers
+tags:
+- translation
+- mlx
+- mlx-my-repo
+license: gemma
+language:
+- ar
+- bg
+- zh
+- cs
+- da
+- nl
+- en
+- fi
+- fr
+- de
+- el
+- gu
+- he
+- hi
+- hu
+- id
+- it
+- ja
+- ko
+- fa
+- pl
+- pt
+- ro
+- ru
+- sk
+- es
+- sv
+- tl
+- th
+- tr
+- uk
+- vi
+base_model: yanolja/YanoljaNEXT-Rosetta-12B-2510
+---
+
+# introvoyz041/YanoljaNEXT-Rosetta-12B-2510-mlx-4Bit
+
+The Model [introvoyz041/YanoljaNEXT-Rosetta-12B-2510-mlx-4Bit](https://huggingface.co/introvoyz041/YanoljaNEXT-Rosetta-12B-2510-mlx-4Bit) was converted to MLX format from [yanolja/YanoljaNEXT-Rosetta-12B-2510](https://huggingface.co/yanolja/YanoljaNEXT-Rosetta-12B-2510) using mlx-lm version **0.28.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("introvoyz041/YanoljaNEXT-Rosetta-12B-2510-mlx-4Bit")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```