---
license: llama3
language:
- en
tags:
- finance
- mlx
datasets:
- Open-Orca/OpenOrca
- GAIR/lima
- WizardLM/WizardLM_evol_instruct_V2_196k
base_model: instruction-pretrain/finance-Llama3-8B
pipeline_tag: text-generation
library_name: mlx
---

# tniccum21/finance-Llama3-8B

This model [tniccum21/finance-Llama3-8B](https://huggingface.co/tniccum21/finance-Llama3-8B) was
converted to MLX format from [instruction-pretrain/finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B)
using mlx-lm version **0.24.0**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("tniccum21/finance-Llama3-8B")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```