83 lines
3.4 KiB
Markdown
83 lines
3.4 KiB
Markdown
---
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license: apache-2.0
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base_model: huihui-ai/Huihui-MoE-12B-A4B-abliterated
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library_name: transformers
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license_link: https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- moe
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- llama-cpp
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- gguf-my-repo
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extra_gated_prompt: '**Usage Warnings**
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“**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering
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has been significantly reduced, potentially generating sensitive, controversial,
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or inappropriate content. Users should exercise caution and rigorously review generated
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outputs.
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“**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s
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outputs may be inappropriate for public settings, underage users, or applications
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requiring high security.
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“**Legal and Ethical Responsibilities**“: Users must ensure their usage complies
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with local laws and ethical standards. Generated content may carry legal or ethical
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risks, and users are solely responsible for any consequences.
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“**Research and Experimental Use**“: It is recommended to use this model for research,
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testing, or controlled environments, avoiding direct use in production or public-facing
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commercial applications.
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“**Monitoring and Review Recommendations**“: Users are strongly advised to monitor
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model outputs in real-time and conduct manual reviews when necessary to prevent
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the dissemination of inappropriate content.
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“**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone
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rigorous safety optimization. huihui.ai bears no responsibility for any consequences
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arising from its use.'
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---
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# JohnRoger/Huihui-MoE-12B-A4B-abliterated-Q8_0-GGUF
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This model was converted to GGUF format from [`huihui-ai/Huihui-MoE-12B-A4B-abliterated`](https://huggingface.co/huihui-ai/Huihui-MoE-12B-A4B-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/huihui-ai/Huihui-MoE-12B-A4B-abliterated) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo JohnRoger/Huihui-MoE-12B-A4B-abliterated-Q8_0-GGUF --hf-file huihui-moe-12b-a4b-abliterated-q8_0.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo JohnRoger/Huihui-MoE-12B-A4B-abliterated-Q8_0-GGUF --hf-file huihui-moe-12b-a4b-abliterated-q8_0.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo JohnRoger/Huihui-MoE-12B-A4B-abliterated-Q8_0-GGUF --hf-file huihui-moe-12b-a4b-abliterated-q8_0.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo JohnRoger/Huihui-MoE-12B-A4B-abliterated-Q8_0-GGUF --hf-file huihui-moe-12b-a4b-abliterated-q8_0.gguf -c 2048
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```
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