Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,42 @@
+---
+library_name: transformers
+license: llama3.1
+language:
+- ko
+- vi
+- id
+- km
+- th
+metrics:
+- bleu
+- rouge
+base_model: MLP-KTLim/llama-3.1-Asian-Bllossom-8B-Translator
+tags:
+- mlx
+---
+
+# Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-mlx-fp16
+
+The Model [Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-mlx-fp16](https://huggingface.co/Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-mlx-fp16) was converted to MLX format from [MLP-KTLim/llama-3.1-Asian-Bllossom-8B-Translator](https://huggingface.co/MLP-KTLim/llama-3.1-Asian-Bllossom-8B-Translator) using mlx-lm version **0.22.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-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)
+```