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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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base_model: SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored |
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--- |
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# Triangle104/Phi-3.5-mini-instruct_Uncensored-Q5_K_M-GGUF |
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This model was converted to GGUF format from [`SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored`](https://huggingface.co/SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored) 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/SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored) for more details on the model. |
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--- |
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Model details: |
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- |
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This is the basic model, no additional data was used except my uncensoring protocol. |
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Model Details |
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Censorship level: Low - Medium |
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6.4 / 10 (10 completely uncensored) |
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UGI score: |
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UGI Score |
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Phi-3.5-mini-instruct_Uncensored is available at the following quantizations: |
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Original: FP16 |
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GGUF: Static Quants | iMatrix_GGUF-bartowski | iMatrix_GGUF-mradermacher |
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EXL2: 3.0 bpw | 4.0 bpw | 5.0 bpw | 6.0 bpw | 7.0 bpw | 8.0 bpw |
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Specialized: FP8 |
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Mobile (ARM): Q4_0_X_X |
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Support |
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GPUs too expensive |
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My Ko-fi page ALL donations will go for research resources and compute, every bit is appreciated 🙏🏻 |
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Other stuff |
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Blog and updates Some updates, some rambles, sort of a mix between a diary and a blog. |
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LLAMA-3_8B_Unaligned The grand project that started it all. |
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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/Phi-3.5-mini-instruct_Uncensored-Q5_K_M-GGUF --hf-file phi-3.5-mini-instruct_uncensored-q5_k_m.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/Phi-3.5-mini-instruct_Uncensored-Q5_K_M-GGUF --hf-file phi-3.5-mini-instruct_uncensored-q5_k_m.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/Phi-3.5-mini-instruct_Uncensored-Q5_K_M-GGUF --hf-file phi-3.5-mini-instruct_uncensored-q5_k_m.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/Phi-3.5-mini-instruct_Uncensored-Q5_K_M-GGUF --hf-file phi-3.5-mini-instruct_uncensored-q5_k_m.gguf -c 2048 |
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``` |
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