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README.md

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+---
+license: apache-2.0
+library_name: transformers
+language:
+- en
+- fr
+- zh
+- de
+tags:
+- programming
+- code generation
+- code
+- codeqwen
+- moe
+- coding
+- coder
+- qwen2
+- chat
+- qwen
+- qwen-coder
+- Qwen3-30B-A3B-Thinking-2507
+- Qwen3-30B-A3B
+- mixture of experts
+- 128 experts
+- 8 active experts
+- 256k context
+- qwen3
+- finetune
+- brainstorm 20x
+- brainstorm
+- thinking
+- reasoning
+- uncensored
+- abliterated
+- qwen3_moe
+- mlx
+- mlx-my-repo
+base_model: DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER
+pipeline_tag: text-generation
+---
+
+# Eldadalbajob/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-mlx-4Bit
+
+The Model [Eldadalbajob/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-mlx-4Bit](https://huggingface.co/Eldadalbajob/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-mlx-4Bit) was converted to MLX format from [DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER](https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER) using mlx-lm version **0.26.4**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("Eldadalbajob/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-mlx-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)
+```