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README.md

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+---
+base_model: btaskel/Tifa-DeepsexV2-7b-MGRPO-safetensors
+language:
+- zh
+- en
+library_name: transformers
+tags:
+- incremental-pretraining
+- sft
+- reinforcement-learning
+- roleplay
+- cot
+- mlx
+- mlx-my-repo
+license: apache-2.0
+---
+
+# KYUNGYONG/Tifa-DeepsexV2-7b-MGRPO-safetensors-4bit
+
+The Model [KYUNGYONG/Tifa-DeepsexV2-7b-MGRPO-safetensors-4bit](https://huggingface.co/KYUNGYONG/Tifa-DeepsexV2-7b-MGRPO-safetensors-4bit) was converted to MLX format from [btaskel/Tifa-DeepsexV2-7b-MGRPO-safetensors](https://huggingface.co/btaskel/Tifa-DeepsexV2-7b-MGRPO-safetensors) using mlx-lm version **0.21.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("KYUNGYONG/Tifa-DeepsexV2-7b-MGRPO-safetensors-4bit")
+
+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)
+```