---
title: DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune
canonical_url: "https://www.modelscope.cn/models/MediaTek-Research/DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune"
md_url: "https://www.modelscope.cn/models/MediaTek-Research/DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune.md"
repository: MediaTek-Research/DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune
last_updated: 2025-02-19
model_type:
  - deepseek_v2
architectures:
  - DeepseekV2ForCausalLM
parameters: 15.3B
tensor_type:
  - F32
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: 650
stars: 0
---

# DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune

> DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune - MediaTek-Research 在 ModelScope 开源的模型。

MediaTek-Research/DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune 是 ModelScope 魔搭社区上的 15.3B 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**: MediaTek-Research/DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune
- **Parameters**: 15.3B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 650
- **Stars**: 0
- **Last updated**: 2025-02-19

Source: https://www.modelscope.cn/models/MediaTek-Research/DeepSeek-V2-Lite-Coder-Instruct-RTLCoder-Finetune

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