kf3paaw/qwen3-8-27b-obliterated-demo
0
๐ Qwen3.8-27B โ OBLITERATED (Demo)
Interactive chat UI for **OBLITERATUS/Qwen3.8-27B-OBLITERATED**, an "abliterated" (refusal-removed) chat model built on Qwen3.8-27B. Per the model card it keeps near-stock capability (MMLU ~83.7%, 7/8 advanced real-world tasks) with zero refusals on both thinking modes.
โ ๏ธ Important: this Space does NOT call Hugging Face Serverless
Verified limitation. Hugging Face's hosted Serverless Inference does not serve this model. A real, authenticated call returns:
BadRequestError: The requested model 'OBLITERATUS/Qwen3.8-27B-OBLITERATED'
is not supported by any provider you have enabled. (code: model_not_supported)So this Static Space cannot run the 27B weights by itself. Instead, the browser-only UI below talks to an OpenAI-compatible `/v1/chat/completions` endpoint that YOU provide โ i.e. a server that actually hosts the weights. No token is ever embedded in the page; your key (if any) lives only on that endpoint.
How to use it
- Deploy/host the model somewhere that exposes OpenAI-compatible
/v1/chat/completions. Easiest options: - Ollama (local or remote):
ollama run OBLITERATUS/Qwen3.8-27B-OBLITERATEDthen usehttp://<host>:11434/v1/chat/completions. - llama.cpp / llama-cpp-python server:
--api-key+/v1/chat/completions. - vLLM:
vllm serve OBLITERATUS/Qwen3.8-27B-OBLITERATED --served-model-name OBLITERATUS/Qwen3.8-27B-OBLITERATED. - A Cloudflare Worker / reverse proxy that holds your HF (or other) token server-side and forwards to your own hosted instance.
- Open the Space, paste that endpoint URL into the "Model endpoint" box.
- Chat. The UI sends the model card's optimal settings:
temperature=0,repetition_penalty=1.15,thinking OFF, no system prompt,max_tokens(slider, default 2048).
Notes
- Keep thinking disabled when self-hosting โ the card warns thinking can re-derive refusals.
- The UI accepts bare origins,
/v1,/v1/chat, or full/v1/chat/completionsURLs and normalizes them. - This is a Static Space (no server, no PRO needed): just
index.html.
