Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,74 @@
+---
+license: mit
+base_model: open-neo/Kyro-n1-7B
+library_name: transformers
+language:
+- en
+- zh
+- fr
+- es
+- pt
+- de
+- it
+- ru
+- ja
+- ko
+- vi
+- th
+- ar
+- fa
+- he
+- tr
+- cs
+- pl
+- hi
+- bn
+- ur
+- id
+- ms
+- lo
+- my
+- ceb
+- km
+- tl
+- nl
+tags:
+- trl
+- Reasoning
+- open-llm
+- synthetic-data
+- Deepseek-R1
+- Qwen2.5
+- fine-tune
+- unsloth
+- Conversational
+- Agentic
+- mlx
+- mlx-my-repo
+---
+
+# KYUNGYONG/Kyro-n1-7B-4bit
+
+The Model [KYUNGYONG/Kyro-n1-7B-4bit](https://huggingface.co/KYUNGYONG/Kyro-n1-7B-4bit) was converted to MLX format from [open-neo/Kyro-n1-7B](https://huggingface.co/open-neo/Kyro-n1-7B) using mlx-lm version **0.21.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("KYUNGYONG/Kyro-n1-7B-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)
+```