10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 607 ms
modelrecord9,633 downloads/month
- image-text-to-text
Task: image-text-to-text
- image-text-to-text
modelrecord2,894 downloads/month
- text-generation
Task: text-generation
- text-generation
- 3Huihui Qwen3.5 27B Chatdemo or tutorialno passport yet
MCP serverrecord
- Huihui_Qwen3_5_27B_abliterated_Demo__lambda_
- Huihui_Qwen3_5_27B_abliterated_Demo__lambda__1
- 4Huihui Qwen3.6-35B-A3B Opus Abliterated Chatdemo or tutorialno passport yet
MCP serverrecord
- Huihui_Qwen3_6_35B_abliterated_chat_chat
Chat with Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated via HF Inference Providers.
- Huihui_Qwen3_6_35B_abliterated_chat_chat
- 5Huihui Qwen3.5 27B Claude Opus Abliterated Demodemo or tutorialno passport yet
MCP serverrecord
- huihui_qwen3_5_27b_abliterated_demo_chat
Chat with Huihui-Qwen3.5-27B-Claude-4.6-Opus (abliterated, 4-bit) with optional image input. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
- huihui_qwen3_5_27b_abliterated_demo_chat_1
Chat with Huihui-Qwen3.5-27B-Claude-4.6-Opus (abliterated, 4-bit) with optional image input. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
- huihui_qwen3_5_27b_abliterated_demo_chat
- 6Huihui Qwen3.8 27B Abliterated GGUFdemo or tutorialno passport yet
MCP serverrecord
- Huihui_Qwen3_8_27B_abliterated_demo__lambda_
modelrecord13,222 downloads/month
- any-to-any
Task: any-to-any
- any-to-any
- 8Huihui Qwen3.8 27B Abliterated GGUFdemo or tutorialno passport yet
MCP serverrecord
- Huihui_Qwen3_8_27B_abliterated_chat_ask
Send one message to Huihui-Qwen3.8-27B-abliterated (GGUF, llama.cpp) and return its reply. Returns: The model's answer as plain text.
- Huihui_Qwen3_8_27B_abliterated_chat_ask
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.