cyberneurova-Qwen3.8-Flash-Next

An uncensored, neutral assistant built by CyberNeurova on top of Qwen/Qwen3.8-Flash-Next. 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

• Ultra-sparse MoE — 125B total parameters, ~6B active per token, so it runs far faster than a dense model its size.
• 262K native context (extendable to 1M with YaRN), multilingual, tool-calling.
• Reasoning model — supports an explicit thinking trace, and is uncensored in both modes: with thinking on and with thinking off.
• Multimodal — understands images as well as text.
• Direct by default; fully steerable — send a system prompt and it is honored verbatim, with no default behavior merged in.
• Capability preserved. Reasoning, coding, and general knowledge are intact; only the refusal behavior is removed.

Usage (vLLM)

Qwen3.8-Flash-Next uses a new architecture, so serve it with the dedicated vLLM image:

docker run --gpus all --ipc=host -p 8000:8000 \
  -e VLLM_PLE_CPU_OFFLOAD=1 \
  -v /path/to/cyberneurova-Qwen3.8-Flash-Next:/model \
  vllm/vllm-openai:qwen38-flash-next \
  --model /model --served-model-name cyberneurova-Qwen3.8-Flash-Next \
  --tensor-parallel-size 8 --max-num-seqs 256

Requires Hopper-class GPUs (H100/H200) or newer for the sparse-attention kernels.

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

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

Setting the tone

Send your own system prompt to control style completely — e.g. for terse, no-preamble answers:

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

Notes

• This is a reasoning model. Responses may include a thinking trace followed by the answer — render the final answer; the trace is optional. It works uncensored whether thinking is enabled or disabled.
• 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.