DeepSeek-V3
Runs the open‑source DeepSeek‑V3 large language model locally for text generation or chat‑style completion.
- •You need a powerful LLM but want to keep data on‑premise (e.g., for privacy‑sensitive SaaS).
- •You want to fine‑tune or prompt‑engineer a 7B‑parameter model without paying for API calls.
- •You are building a prototype chatbot and need a fast, locally hosted inference endpoint.
curl -X POST http://localhost:8000/generate -H "Content-Type: application/json" -d '{"prompt": "Write a concise investor email that pitches a AI‑driven customer support platform.", "temperature": 0.7, "max_new_tokens": 200}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/deepseek-v3 && curl -fsSL https://workflowstacks.com/api/skills/deepseek-v3/claude-skill -o ~/.claude/skills/deepseek-v3/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
DeepSeek-V3 is a small Python project (~1.5k lines across 5 code files). Setup is light: small project — see the README for how to run it. Last commit 12 months ago, MIT license, no tests found.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/deepseek-v3 && curl -fsSL https://workflowstacks.com/api/skills/deepseek-v3/claude-skill -o ~/.claude/skills/deepseek-v3/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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