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README.md

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+---
+license: llama3
+language:
+- en
+tags:
+- finance
+- mlx
+- mlx-my-repo
+datasets:
+- Open-Orca/OpenOrca
+- GAIR/lima
+- WizardLM/WizardLM_evol_instruct_V2_196k
+base_model: instruction-pretrain/finance-Llama3-8B
+---
+
+# codingmavin/finance-Llama3-8B-mlx-6Bit
+
+The Model [codingmavin/finance-Llama3-8B-mlx-6Bit](https://huggingface.co/codingmavin/finance-Llama3-8B-mlx-6Bit) was converted to MLX format from [instruction-pretrain/finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B) 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("codingmavin/finance-Llama3-8B-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)
+```