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Free LLM model · FreeLLMAPI

Free LLM model details: providers, rate limits, context window, and quirks, served free through FreeLLMAPI.

NVIDIA NIM

nvidia/nv-embedqa-e5-v5
Context window512 tokens
Dimensions1,024
Free budget~40 rpm
Rate limitsnot published

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free NVIDIA NIM key, and nvidia/nv-embedqa-e5-v5 answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call nvidia/nv-embedqa-e5-v5 with curl
curl http://localhost:3001/v1/embeddings \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "nvidia/nv-embedqa-e5-v5", "input": "hello world"}'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.embeddings.create(
    model="nvidia/nv-embedqa-e5-v5",
    input=["the quick brown fox"],
)
print(len(resp.data[0].embedding), "dims")

The router answers on /v1/embeddings and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.