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README.md

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+---
+language:
+- en
+library_name: transformers
+tags:
+- glm
+- glm4
+- MOE
+- pruning
+- compression
+- reap
+- cerebras
+- code
+- function-calling
+- agentic
+- mlx
+- mlx-my-repo
+license: apache-2.0
+pipeline_tag: text-generation
+base_model: 0xSero/GLM-4.7-REAP-50
+---
+
+# scaryrawr/GLM-4.7-REAP-50-mlx-3Bit
+
+The Model [scaryrawr/GLM-4.7-REAP-50-mlx-3Bit](https://huggingface.co/scaryrawr/GLM-4.7-REAP-50-mlx-3Bit) was converted to MLX format from [0xSero/GLM-4.7-REAP-50](https://huggingface.co/0xSero/GLM-4.7-REAP-50) using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("scaryrawr/GLM-4.7-REAP-50-mlx-3Bit")
+
+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)
+```