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README.md

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+---
+library_name: transformers
+license: apache-2.0
+datasets:
+- anthracite-org/kalo-opus-instruct-22k-no-refusal
+- Nopm/Opus_WritingStruct
+- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
+- Gryphe/Sonnet3.5-Charcard-Roleplay
+- Gryphe/ChatGPT-4o-Writing-Prompts
+- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
+- nothingiisreal/Reddit-Dirty-And-WritingPrompts
+- allura-org/Celeste-1.x-data-mixture
+- cognitivecomputations/dolphin-2.9.3
+base_model: GoraPakora/QwenQwen2
+tags:
+- generated_from_trainer
+- mlx
+- mlx-my-repo
+model-index:
+- name: EVA-Qwen2.5-32B-SFFT-v0.1
+  results: []
+---
+
+# Fmuaddib/QwenQwen2-mlx-8Bit
+
+The Model [Fmuaddib/QwenQwen2-mlx-8Bit](https://huggingface.co/Fmuaddib/QwenQwen2-mlx-8Bit) was converted to MLX format from [GoraPakora/QwenQwen2](https://huggingface.co/GoraPakora/QwenQwen2) using mlx-lm version **0.22.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("Fmuaddib/QwenQwen2-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)
+```