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--- |
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license: llama3 |
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language: |
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- en |
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base_model: SicariusSicariiStuff/Dusk_Rainbow |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Dusk_Rainbow-Q4_K_S-GGUF |
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This model was converted to GGUF format from [`SicariusSicariiStuff/Dusk_Rainbow`](https://huggingface.co/SicariusSicariiStuff/Dusk_Rainbow) 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/Dusk_Rainbow) for more details on the model. |
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--- |
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Censorship level: Very low |
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9.1 / 10 (10 completely uncensored) |
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Intended use: Creative Writing, General tasks. |
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This model is the result of training a fraction (16M tokens) of the testing data Intended for LLAMA-3_8B_Unaligned's upcoming beta. |
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The base model is a merge of merges, made by Invisietch's and named EtherealRainbow-v0.3-8B. |
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The name for this model reflects the base that was used for this |
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finetune while hinting a darker, and more uncensored aspects associated |
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with the nature of the LLAMA-3_8B_Unaligned project. |
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As a result of the unique data added, this model has an exceptional |
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adherence to instructions about paragraph length, and to the story |
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writing prompt. I would like to emphasize, no ChatGPT \ Claude was used for any of the additional data I added in this finetune. The goal is to eventually have a model with a minimal amount of slop, this cannot be reliably done by relying on API models, which pollute datasets with their bias and repetitive words. |
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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/Dusk_Rainbow-Q4_K_S-GGUF --hf-file dusk_rainbow-q4_k_s.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/Dusk_Rainbow-Q4_K_S-GGUF --hf-file dusk_rainbow-q4_k_s.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/Dusk_Rainbow-Q4_K_S-GGUF --hf-file dusk_rainbow-q4_k_s.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/Dusk_Rainbow-Q4_K_S-GGUF --hf-file dusk_rainbow-q4_k_s.gguf -c 2048 |
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``` |
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