---
title: EmoLlama-3-8B-Instruct-1048k-8bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/EmoLlama-3-8B-Instruct-1048k-8bit"
md_url: "https://www.modelscope.cn/models/mlx-community/EmoLlama-3-8B-Instruct-1048k-8bit.md"
repository: mlx-community/EmoLlama-3-8B-Instruct-1048k-8bit
last_updated: 2024-12-19
license: llama3
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - llama
architectures:
  - LlamaForCausalLM
parameters: 2.3B
tensor_type:
  - U32
  - F16
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: 1005
stars: 0
tags:
  - meta
  - llama-3
  - mlx
---

# EmoLlama-3-8B-Instruct-1048k-8bit

> EmoLlama-3-8B-Instruct-1048k-8bit - mlx-community 在 ModelScope 开源的模型。EmoLlama-3-8B-Instruct-1048k-8bit This model was converted to MLX format from mlx-community/Llama-3-8B-Instruct-1048k-8bit. Refer to the original model card for more details on the model.…

mlx-community/EmoLlama-3-8B-Instruct-1048k-8bit 是 ModelScope 魔搭社区上的 2.3B 参数text-generation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/EmoLlama-3-8B-Instruct-1048k-8bit
- **License**: llama3
- **Tasks**: text-generation
- **Parameters**: 2.3B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: meta, llama-3, mlx
- **Downloads**: 1005
- **Stars**: 0
- **Last updated**: 2024-12-19

Source: https://www.modelscope.cn/models/mlx-community/EmoLlama-3-8B-Instruct-1048k-8bit

---

# EmoLlama-3-8B-Instruct-1048k-8bit
This model was converted to MLX format from [`mlx-community/Llama-3-8B-Instruct-1048k-8bit`]().
Refer to the [original model card](https://huggingface.co/mlx-community/Llama-3-8B-Instruct-1048k-8bit) for more details on the model.
## Use with mlx
```bash
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/EmoLlama-3-8B-Instruct-1048k-8bit --prompt "My name is"
```
