yangmao.ai · Python setup money page

llama.cpp Python API Setup

Use this page when you need a working Python starting point for llama.cpp, then validate quota and model names in the official console before production.

Open official provider → Get one OpenAI-compatible key → Compare API gateway options →

Quick verdict

Free API: Self-hosted
Rate limits: 本地硬件限制
Best model starting point: GGUF local LLM runtime
Mainland China access: direct or relatively friendly

Provider fit matrix

Best fit Fast provider evaluation, prototypes, and fallback routing

Watch out Free credits and rate limits can change without warning

Production fallback Keep at least one compatible backup provider before shipping

Production readiness checklist

Quota gate Start inside Self-hosted; log usage before adding retries or batch jobs.

No-card check Try the free path first, then confirm whether billing is required for API keys, higher RPM, or production endpoints.

Regional smoke test Still run one request from your deployment region and from mainland China if users are there.

Source freshness Snapshot date: 2026-05-22; official quota and pricing can change without notice.

Python setup snapshot

Start with the smallest possible chat completion, then move the key to your server-side secret manager before production.

git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
cmake -B build
cmake --build build --config Release
# ./build/bin/llama-server -m /path/to/model.gguf

Free API and pricing notes

Self-hosted

Can self-host an OpenAI-compatible/HTTP inference server via llama-server; no official cloud free tier.

Access and production risk

Mainland China friendly / direct path likely

GitHub access may vary in China; model downloads can use mirrors.

How to set it up

Create or locate your provider API key in the official dashboard.

Install the provider SDK or requests dependency shown in the example.

Set the API key in an environment variable instead of hard-coding secrets.

Run a small llama.cpp chat completion with GGUF local LLM runtime.

Watch free credits, RPM/TPM limits, response shape, and error messages before scaling.

额度变动提醒

想知道免费额度、价格或可用性变化？先订阅提醒，后续也可以对比官方平台、API 网关和同类替代方案。

订阅提醒 → 获取 OpenLLMAPI Key → 比较 API 网关 →

Source snapshot

Data source: yangmao.ai provider YAML tracker plus provider docs reviewed by the daily crawler. Official dashboards can change quota and pricing without notice; verify before production.

yangmao.ai provider id: llama-cpp
Official source: https://github.com/ggml-org/llama.cpp
Last updated: 2026-05-22
Free tier: MIT open-source; unlimited local use subject to hardware
API credits: Self-hosted
Rate limit: 本地硬件限制
Access note: GitHub access may vary in China; model downloads can use mirrors.

FAQ

Does llama.cpp have a free API?

Yes. Current yangmao.ai record: Self-hosted. Rate limit note: 本地硬件限制.

Is llama.cpp OpenAI-compatible?

The recorded setup uses an OpenAI-compatible pattern or SDK-style call. Validate the latest base URL and model names in llama.cpp docs.

Can I use llama.cpp from mainland China?

llama.cpp is marked as relatively direct or Mainland-China-friendly in the current tracker.

What should I do when llama.cpp credits run out?

Compare the alternatives below, check /en/free-ai-api/, and shortlist official providers or API gateway options before production.