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README.md

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+---
+metrics:
+- code_eval
+library_name: transformers
+tags:
+- code
+- mlx
+base_model: WizardLMTeam/WizardCoder-33B-V1.1
+model-index:
+- name: WizardCoder
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval
+      type: openai_humaneval
+    metrics:
+    - type: pass@1
+      value: 0.799
+      name: pass@1
+      verified: false
+---
+
+# GGorman/WizardCoder-33B-V1.1-Q8-mlx
+
+The Model [GGorman/WizardCoder-33B-V1.1-Q8-mlx](https://huggingface.co/GGorman/WizardCoder-33B-V1.1-Q8-mlx) was converted to MLX format from [WizardLMTeam/WizardCoder-33B-V1.1](https://huggingface.co/WizardLMTeam/WizardCoder-33B-V1.1) using mlx-lm version **0.19.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("GGorman/WizardCoder-33B-V1.1-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)
+```