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--- |
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base_model: SzilviaB/SzilviaB-Daredevil-LongWriter-8B_abliterated |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/SzilviaB-Daredevil-LongWriter-8B_abliterated-Q5_K_M-GGUF |
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This model was converted to GGUF format from [`SzilviaB/SzilviaB-Daredevil-LongWriter-8B_abliterated`](https://huggingface.co/SzilviaB/SzilviaB-Daredevil-LongWriter-8B_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/SzilviaB/SzilviaB-Daredevil-LongWriter-8B_abliterated) 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 a merge of pre-trained language models created using mergekit. |
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Merge Details |
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Merge Method |
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This model was merged using the SLERP merge method. |
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Models Merged |
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The following models were included in the merge: |
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mlabonne/NeuralDaredevil-8B-abliterated |
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THUDM/LongWriter-llama3.1-8b |
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Configuration |
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The following YAML configuration was used to produce this model: |
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models: |
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- model: mlabonne/NeuralDaredevil-8B-abliterated |
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- model: THUDM/LongWriter-llama3.1-8b |
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merge_method: slerp |
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base_model: mlabonne/NeuralDaredevil-8B-abliterated |
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dtype: bfloat16 |
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parameters: |
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers |
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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/SzilviaB-Daredevil-LongWriter-8B_abliterated-Q5_K_M-GGUF --hf-file szilviab-daredevil-longwriter-8b_abliterated-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/SzilviaB-Daredevil-LongWriter-8B_abliterated-Q5_K_M-GGUF --hf-file szilviab-daredevil-longwriter-8b_abliterated-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/SzilviaB-Daredevil-LongWriter-8B_abliterated-Q5_K_M-GGUF --hf-file szilviab-daredevil-longwriter-8b_abliterated-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/SzilviaB-Daredevil-LongWriter-8B_abliterated-Q5_K_M-GGUF --hf-file szilviab-daredevil-longwriter-8b_abliterated-q5_k_m.gguf -c 2048 |
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``` |
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