---
title: Llama3-OpenBioLLM-8B
canonical_url: "https://www.modelscope.cn/models/mlx-community/Llama3-OpenBioLLM-8B"
md_url: "https://www.modelscope.cn/models/mlx-community/Llama3-OpenBioLLM-8B.md"
repository: mlx-community/Llama3-OpenBioLLM-8B
last_updated: 2024-12-20
license: llama3
model_type:
  - llama
architectures:
  - LlamaForCausalLM
parameters: 1.7B
tensor_type:
  - F16
  - U32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 996
stars: 0
tags:
  - mlx
---

# Llama3-OpenBioLLM-8B

> Llama3-OpenBioLLM-8B - mlx-community 在 ModelScope 开源的模型。lostairpod/Llama3-OpenBioLLM-8B-MLX This model was converted to MLX format from aaditya/Llama3-OpenBioLLM-8B using mlx-lm version 0.0.13.

mlx-community/Llama3-OpenBioLLM-8B 是 ModelScope 魔搭社区上的 1.7B 参数机器学习模型，采用 llama3 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: mlx-community/Llama3-OpenBioLLM-8B
- **License**: llama3
- **Parameters**: 1.7B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: mlx
- **Downloads**: 996
- **Stars**: 0
- **Last updated**: 2024-12-20

Source: https://www.modelscope.cn/models/mlx-community/Llama3-OpenBioLLM-8B

---

# lostairpod/Llama3-OpenBioLLM-8B-MLX
This model was converted to MLX format from [`aaditya/Llama3-OpenBioLLM-8B`](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) using mlx-lm version **0.0.13**.

Model added by [lostairpod]

Refer to the [original model card](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) for more details on the model.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Llama3-OpenBioLLM-8B")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```