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--- |
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tags: |
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- chat |
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- llama-cpp |
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- gguf-my-repo |
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base_model: Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1 |
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pipeline_tag: text-generation |
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--- |
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# Triangle104/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-Q8_0-GGUF |
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This model was converted to GGUF format from [`Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1`](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1) 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/Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1) for more details on the model. |
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--- |
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The JOSIEFIED model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’s Qwen2/2.5/3, Google’s Gemma3, and Meta’s LLaMA 3/4. Covering sizes from 0.5B to 32B parameters, these models have been significantly modified (“abliterated”) and further fine-tuned to maximize uncensored behavior without compromising tool usage or instruction-following abilities. |
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Despite their rebellious spirit, the JOSIEFIED models often outperform their base counterparts on standard benchmarks — delivering both raw power and utility. |
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These models are intended for advanced users who require unrestricted, high-performance language generation. |
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--- |
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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 Triangle104/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-deepseek-r1-0528-qwen3-8b-abliterated-v1-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 Triangle104/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-deepseek-r1-0528-qwen3-8b-abliterated-v1-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 Triangle104/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-deepseek-r1-0528-qwen3-8b-abliterated-v1-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 Triangle104/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-Q8_0-GGUF --hf-file josiefied-deepseek-r1-0528-qwen3-8b-abliterated-v1-q8_0.gguf -c 2048 |
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``` |
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