--- license: other license_name: modified-mit library_name: transformers pipeline_tag: image-text-to-text base_model: - moonshotai/Kimi-K2.5 tags: - abliterated - uncensored - GGUF --- # huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF This is an uncensored version of [moonshotai/Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it). ## Download and merge [Q2_K](https://huggingface.co/huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/tree/main/Q2_K-GGUF) [Q3_K](https://huggingface.co/huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/tree/main/Q3_K-GGUF) Use the [llama.cpp](https://github.com/ggml-org/llama.cpp) split program to merge model (llama-gguf-split needs to be compiled.), ``` huggingface-cli download huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF --token xxx llama-gguf-split --merge huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/Q2_K-GGUF/Q2_K-GGUF-00001-of-00041.gguf huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/Q2_K.gguf ``` ## Process image ``` llama-mtmd-cli -m huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/Q2_K.gguf --mmproj huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/mmproj-model-f16.gguf -c 40960 --image cars.jpg -p "Describe this image" ``` # Tool Calling By using llama-serve and the opencode test Tool Calling, it is evident that the performance is excellent. ``` llama-server -m huihui-ai/Huihui-Kimi-K2.5-BF16-abliterated-GGUF/Q3_K.gguf --port 8080 --host 0.0.0.0 -c 262144 ``` The following are the relevant configurations for openconde.json used in a Docker environment. ``` { "$schema": "https://opencode.ai/config.json", "provider": { "llama-server": { "npm": "@ai-sdk/openai-compatible", "name": "llama-server", "options": { "baseURL": "http://host.docker.internal:8080/v1" }, "models": { "Huihui-Kimi-K2.5-BF16-abliterated-Q3_K": { "name": "Huihui-Kimi-K2.5-BF16-abliterated-Q3_K", "tools": true, "reasoning": false, "options": { "num_ctx": 262144 } } } } } } ``` ### Usage Warnings - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs. - **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security. - **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences. - **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications. - **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content. - **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use. ### Donation If you like it, please click 'like' and follow us for more updates. You can follow [x.com/support_huihui](https://x.com/support_huihui) to get the latest model information from huihui.ai. ##### Your donation helps us continue our further development and improvement, a cup of coffee can do it. - bitcoin(BTC): ``` bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge ``` - Support our work on Ko-fi (https://ko-fi.com/huihuiai)!