---
title: deepseek-coder-1.3b-instruct
canonical_url: "https://www.modelscope.cn/models/Xenova/deepseek-coder-1.3b-instruct"
md_url: "https://www.modelscope.cn/models/Xenova/deepseek-coder-1.3b-instruct.md"
repository: Xenova/deepseek-coder-1.3b-instruct
last_updated: 2024-11-07
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - llama
architectures:
  - LlamaForCausalLM
base_model:
  - deepseek-ai/deepseek-coder-1.3b-instruct
base_model_relation: finetune
library_name:
  - onnx
  - 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: 1802
stars: 0
---

# deepseek-coder-1.3b-instruct

> deepseek-coder-1.3b-instruct - Xenova 在 ModelScope 开源的模型。https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct with ONNX weights to be compatible with Transformers.js.

Xenova/deepseek-coder-1.3b-instruct 是 ModelScope 魔搭社区上的text-generation模型，基于 deepseek-ai/deepseek-coder-1.3b-instruct 构建，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: Xenova/deepseek-coder-1.3b-instruct
- **Tasks**: text-generation
- **Base model**: deepseek-ai/deepseek-coder-1.3b-instruct
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 1802
- **Stars**: 0
- **Last updated**: 2024-11-07

Source: https://www.modelscope.cn/models/Xenova/deepseek-coder-1.3b-instruct

---

https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct with ONNX weights to be compatible with Transformers.js.

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).