Code

Check exact model cardOpen weights where releasedUpdated August 2026

DeepSeek Coder V2 Lite

DeepSeek Coder V2 Lite is a coding model variant worth evaluating for more accessible developer workflows.

DeepSeek · DeepSeek

Editorial review

Reviewed byOpenSourcesAI EditorialLast updatedAugust 2026SourcesHugging Face model card (deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct)

Model checkpoints, context windows, provider support, local runtime compatibility, and license terms can change quickly. Verify the exact model card before production or commercial use.

Best for

Coding assistant tests where full-size coder models are too heavy.

Who should use it

  • Coding assistant tests where full-size coder models are too heavy.
  • Builders who want local or self-hosted testing options.
  • Developers evaluating coding assistant, repo-editing, and code review workflows.

Common workflows

  • Lightweight coding assistant workflows
  • coding workflows
  • local workflows
  • developer workflows

Deployment and hardware notes

Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.

License and usage notes

Check exact model card. Open weights where released. Verify the exact model card and license terms for the checkpoint or hosted provider you use.

Strengths

  • Open weights where released model option for DeepSeek workflows.
  • Coding assistant tests where full-size coder models are too heavy.
  • Use the exact checkpoint and quantization that matches your hardware and latency target.

Limitations

  • Verify license, deployment requirements, runtime support, and fit on your own workload before production use.
  • Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.
  • Context window and limits: 163,840 tokens (RoPE-extended).
  • Verify the exact model card, provider docs, license, and serving support before production use.

Local workflow notes

Use the exact checkpoint and quantization that matches your hardware and latency target.

Local runtimes: Ollama where supported, LM Studio where supported, llama.cpp where supported, Transformers

Platforms: Windows, macOS, Linux

Sources to verify

Hugging Face model card (deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct)

Related resources

Continue with model source notes, local tools, and implementation guides related to this model.

DeepSeek family hubOpen-source AI coding assistantsLocal coding assistant stackCursor vs Windsurf vs ClineAI tools directory
Hardware~9.5 GB at Q4_K_M (15.7B total parameters, MoE)RuntimeOllama or LM Studio where supported, llama.cpp, Transformers, vLLMContext163,840 tokens (RoPE-extended)Last updated2026
Hugging Face model card (deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct) →

Model ecosystem connections

Use these next-step links to move from this profile into related tools, comparisons, guides, stacks, and curated shortlists.

Recommended runtimes and tools

Ollama →LM Studio →llama.cpp →Transformers →vLLM →

Setup and deployment

Check if this model fits your GPU →What can 12GB VRAM run? →What is quantization? GGUF, Q4, Q8 explained →What is VRAM and how much do you need? →

Related model pages

DeepSeek family hub →DeepSeek R1 →DeepSeek R1 Distill Llama 70B →DeepSeek R1 Distill Llama 8B →Devstral →Qwen2.5 Coder 14B →DeepSeek-R1 Distill 14B →

Guides, stacks, and comparisons

Open-source AI coding assistants →Local coding assistant stack →Cursor vs Windsurf vs Cline →What is MCP? →MCP security basics →Best MCP servers for AI agents →

Related models

DeepSeek R1Reasoning experiments, coding workflows, and evaluating open reasoning models against closed alternatives.DeepSeek R1 Distill Llama 70BReasoning experiments, local-friendly evaluation, and distilled model comparisons.DeepSeek R1 Distill Llama 8BReasoning experiments, local-friendly evaluation, and distilled model comparisons.DevstralDeveloper and coding workflow evaluationQwen2.5 Coder 14BCoding assistants, repository help, and developer workflow evaluation.DeepSeek-R1 Distill 14B14B open-weight model in the DeepSeek family.

Ready to run this model locally?

Find a compatible interface in our Local AI Tools directory →