Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,42 @@
+---
+library_name: transformers
+license: apache-2.0
+language:
+- en
+- fr
+- es
+- it
+- pt
+- zh
+- ar
+- ru
+base_model: HuggingFaceTB/SmolLM3-3B
+tags:
+- mlx
+---
+
+# platforms-aisg/SmolLM3-3B-mlx-4Bit
+
+The Model [platforms-aisg/SmolLM3-3B-mlx-4Bit](https://huggingface.co/platforms-aisg/SmolLM3-3B-mlx-4Bit) was converted to MLX format from [HuggingFaceTB/SmolLM3-3B](https://huggingface.co/HuggingFaceTB/SmolLM3-3B) 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("platforms-aisg/SmolLM3-3B-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)
+```