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README.md

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+---
+base_model: fancyfeast/llama-joycaption-beta-one-hf-llava
+tags:
+- captioning
+- mlx
+- mlx-my-repo
+pipeline_tag: image-text-to-text
+library_name: transformers
+---
+
+# n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit
+
+The Model [n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit](https://huggingface.co/n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit) was converted to MLX format from [fancyfeast/llama-joycaption-beta-one-hf-llava](https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava) 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("n0kovo/llama-joycaption-beta-one-hf-llava-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)
+```