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README.md

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+---
+license: mit
+library_name: transformers
+datasets:
+- PrimeIntellect/verifiable-coding-problems
+- likaixin/TACO-verified
+- livecodebench/code_generation_lite
+language:
+- en
+base_model: agentica-org/DeepCoder-1.5B-Preview
+pipeline_tag: text-generation
+tags:
+- mlx
+---
+
+# janboe91/DeepCoder-1.5B-Preview-mlx-6Bit
+
+The Model [janboe91/DeepCoder-1.5B-Preview-mlx-6Bit](https://huggingface.co/janboe91/DeepCoder-1.5B-Preview-mlx-6Bit) was converted to MLX format from [agentica-org/DeepCoder-1.5B-Preview](https://huggingface.co/agentica-org/DeepCoder-1.5B-Preview) 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("janboe91/DeepCoder-1.5B-Preview-mlx-6Bit")
+
+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)
+```