Base URL
https://investigation-approved-residence-cruz.trycloudflare.com/v1
checking status…
Not a stable endpoint. This runs on a single personal GPU behind a Cloudflare quick tunnel.
The URL above changes whenever the tunnel restarts, and it can go offline without notice — this is a
hobby box, not a production service. Don't build anything that depends on it staying up.
Model
/root/models/Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf
Qwen3.6-27B, Q4_K_M quant, MTP self-speculative decoding, served by llama.cpp. Reasoning model —
pass chat_template_kwargs: {"enable_thinking": false} to skip the thinking trace.
curl
curl https://investigation-approved-residence-cruz.trycloudflare.com/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "/root/models/Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf",
"messages": [{"role": "user", "content": "Say hello in five words."}],
"temperature": 0.7,
"max_tokens": 256,
"chat_template_kwargs": {"enable_thinking": false}
}'
Python (OpenAI SDK)
from openai import OpenAI
client = OpenAI(
base_url="https://investigation-approved-residence-cruz.trycloudflare.com/v1",
api_key="not-needed",
)
resp = client.chat.completions.create(
model="/root/models/Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf",
messages=[{"role": "user", "content": "Say hello in five words."}],
temperature=0.7,
max_tokens=256,
extra_body={"chat_template_kwargs": {"enable_thinking": False}},
)
print(resp.choices[0].message.content)
JavaScript (fetch, streaming)
const res = await fetch("https://investigation-approved-residence-cruz.trycloudflare.com/v1/chat/completions", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: "/root/models/Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf",
messages: [{ role: "user", content: "Say hello in five words." }],
stream: true,
chat_template_kwargs: { enable_thinking: false }
})
});
// res.body is an SSE stream of `data: {...}` chunks, OpenAI-style
Limits
| Context window | 8192 tokens |
|---|---|
| Concurrency | 4 slots (shared GPU — expect queueing under load) |
| Auth | none |
| Uptime | best-effort, no guarantee |
Endpoints follow the standard OpenAI Chat Completions API — /v1/chat/completions,
/v1/models, /v1/completions. Full parameter list in the
llama.cpp server docs.