Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,44 @@
+---
+base_model: CraneAILabs/swahili-gemma-1b
+language:
+- en
+- sw
+library_name: transformers
+license: gemma
+tags:
+- swahili
+- translation
+- conversational
+- gemma
+- gemma3
+- fine-tuned
+- mlx
+- mlx-my-repo
+pipeline_tag: text-generation
+---
+
+# Bronsn/swahili-gemma-1b-mlx-fp16
+
+The Model [Bronsn/swahili-gemma-1b-mlx-fp16](https://huggingface.co/Bronsn/swahili-gemma-1b-mlx-fp16) was converted to MLX format from [CraneAILabs/swahili-gemma-1b](https://huggingface.co/CraneAILabs/swahili-gemma-1b) using mlx-lm version **0.26.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("Bronsn/swahili-gemma-1b-mlx-fp16")
+
+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)
+```