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README.md

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+---
+license: llama3.1
+datasets:
+- DebateLabKIT/deepa2-conversations
+- DebateLabKIT/deep-argmap-conversations
+- allenai/tulu-3-sft-mixture
+base_model: DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- logic
+- argumentation
+- critical-thinking
+- argument-mapping
+- trl
+- sft
+- mlx
+- mlx-my-repo
+---
+
+# ggbetz/Llama-3.1-Argunaut-1-8B-SFT-Q4-mlx
+
+The Model [ggbetz/Llama-3.1-Argunaut-1-8B-SFT-Q4-mlx](https://huggingface.co/ggbetz/Llama-3.1-Argunaut-1-8B-SFT-Q4-mlx) was converted to MLX format from [DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT](https://huggingface.co/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT) using mlx-lm version **0.20.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("ggbetz/Llama-3.1-Argunaut-1-8B-SFT-Q4-mlx")
+
+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)
+```