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README.md

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+---
+language:
+- he
+- en
+license: apache-2.0
+tags:
+- mistral
+- nemo
+- hebrew
+- llm
+- text-generation
+- instruction-tuned
+- chat
+- mlx
+- mlx-my-repo
+pipeline_tag: text-generation
+base_model: SicariusSicariiStuff/Hebrew_Nemo
+library_name: transformers
+widget:
+- text: Hebrew_Nemo
+  output:
+    url: https://huggingface.co/SicariusSicariiStuff/Hebrew_Nemo/resolve/main/Images/Hebrew_Nemo.png
+---
+
+# ssdataanalysis/Hebrew_Nemo-mlx-8Bit
+
+The Model [ssdataanalysis/Hebrew_Nemo-mlx-8Bit](https://huggingface.co/ssdataanalysis/Hebrew_Nemo-mlx-8Bit) was converted to MLX format from [SicariusSicariiStuff/Hebrew_Nemo](https://huggingface.co/SicariusSicariiStuff/Hebrew_Nemo) using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("ssdataanalysis/Hebrew_Nemo-mlx-8Bit")
+
+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)
+```