---
title: WhiteRabbitNeo-2.5-qwen-coder-7B-4quant
canonical_url: "https://www.modelscope.cn/models/mlx-community/WhiteRabbitNeo-2.5-qwen-coder-7B-4quant"
md_url: "https://www.modelscope.cn/models/mlx-community/WhiteRabbitNeo-2.5-qwen-coder-7B-4quant.md"
repository: mlx-community/WhiteRabbitNeo-2.5-qwen-coder-7B-4quant
last_updated: 2025-03-01
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
parameters: 1.2B
tensor_type:
  - F16
  - U32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 565
stars: 0
---

# WhiteRabbitNeo-2.5-qwen-coder-7B-4quant

> WhiteRabbitNeo-2.5-qwen-coder-7B-4quant - mlx-community 在 ModelScope 开源的模型。

mlx-community/WhiteRabbitNeo-2.5-qwen-coder-7B-4quant 是 ModelScope 魔搭社区上的 1.2B 参数机器学习模型，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: mlx-community/WhiteRabbitNeo-2.5-qwen-coder-7B-4quant
- **Parameters**: 1.2B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 565
- **Stars**: 0
- **Last updated**: 2025-03-01

Source: https://www.modelscope.cn/models/mlx-community/WhiteRabbitNeo-2.5-qwen-coder-7B-4quant

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