An uncensored, neutral assistant built by CyberNeurova on top of Qwen/Qwen3.8-27B. It answers directly and does not add unsolicited disclaimers, warnings, or caveats. Whatever tone or policy you want is set entirely by your own system prompt.

💬 Chat with it: cyberneurova.ai ✉️ Support: support@cyberneurova.com

Highlights

27B parameters, 262K context, multilingual, tool-calling, reasoning.
Direct by default; fully steerable — send a system prompt and it is honored verbatim, with no default behavior merged in.
Served in BF16. Runs out of the box in vLLM, transformers, or any OpenAI-compatible server. No proxy or wrapper required.
Capability preserved. On an executable coding benchmark — where the model's generated functions are run against hidden test cases — it scores 11/12 (92%) pass@1 (palindrome, two-sum, prime test, binary search, merge, GCD, flatten, anagram, max-subarray, word-count, Roman numerals). Reasoning and general knowledge are intact.

Usage

bash

vllm serve cyberneurova/cyberneurova-Qwen3.8-27B \
  --max-model-len 65536 --trust-remote-code

python

from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v1", api_key="x")

r = client.chat.completions.create(
    model="cyberneurova/cyberneurova-Qwen3.8-27B",
    messages=[{"role": "user", "content": "Write a Python function to parse a CSV."}],
    max_tokens=2000,
)
print(r.choices[0].message.content)

Images (vision) 🖼️

This is a multimodal model — it sees images. With vLLM the vision tower loads automatically; just send an image in the message content (OpenAI format):

python

from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v1", api_key="x")

r = client.chat.completions.create(
    model="cyberneurova/cyberneurova-Qwen3.8-27B",
    messages=[{"role": "user", "content": [
        {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
        {"type": "text", "text": "What's in this image?"},
    ]}],
    max_tokens=1000,
)
print(r.choices[0].message.content)

image_url also accepts a data:image/png;base64,... data URI for local images. Running locally with llama.cpp / Ollama? Use the GGUF build plus its vision projector: cyberneurova-Qwen3.8-27B-GGUF (mmproj-F16.gguf).

Setting the tone

Send your own system prompt to control style completely. For terse, no-preamble answers:

You are a direct technical assistant. Answer the question and nothing else.

Notes

This is a reasoning model. Responses include a thinking trace followed by the answer — render the final answer; the trace is optional.
Give it room to reason: set max_tokens to at least 1500 (2000–4000 for code), or long answers may be cut off.

Disclaimer

This model has reduced built-in refusals. You are responsible for how you use it and for complying with all applicable laws. Provided as-is, without warranty.