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README.md

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+---
+license: cc-by-nc-4.0
+datasets:
+- Salesforce/APIGen-MT-5k
+- Salesforce/xlam-function-calling-60k
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- function-calling
+- LLM Agent
+- tool-use
+- llama
+- qwen
+- pytorch
+- LLaMA-factory
+- mlx
+- mlx-my-repo
+library_name: transformers
+base_model: Salesforce/xLAM-2-32b-fc-r
+---
+
+# mxmcc/xLAM-2-32b-fc-r-mlx-6Bit
+
+The Model [mxmcc/xLAM-2-32b-fc-r-mlx-6Bit](https://huggingface.co/mxmcc/xLAM-2-32b-fc-r-mlx-6Bit) was converted to MLX format from [Salesforce/xLAM-2-32b-fc-r](https://huggingface.co/Salesforce/xLAM-2-32b-fc-r) using mlx-lm version **0.22.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mxmcc/xLAM-2-32b-fc-r-mlx-6Bit")
+
+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)
+```