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README.md

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+---
+license: cc-by-nc-4.0
+language:
+- en
+datasets:
+- Gryphe/Opus-WritingPrompts
+- Sao10K/Claude-3-Opus-Instruct-15K
+- Sao10K/Short-Storygen-v2
+- Sao10K/c2-Logs-Filtered
+tags:
+- mlx
+base_model: Sao10K/L3-8B-Stheno-v3.2
+---
+
+# YorkieOH10/L3-8B-Stheno-v3.2-Q8-mlx
+
+The Model [YorkieOH10/L3-8B-Stheno-v3.2-Q8-mlx](https://huggingface.co/YorkieOH10/L3-8B-Stheno-v3.2-Q8-mlx) was converted to MLX format from [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) using mlx-lm version **0.19.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("YorkieOH10/L3-8B-Stheno-v3.2-Q8-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)
+```