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--- |
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base_model: ProdeusUnity/Astral-Fusion-8b-v0.0 |
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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/Astral-Fusion-8b-v0.0-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`ProdeusUnity/Astral-Fusion-8b-v0.0`](https://huggingface.co/ProdeusUnity/Astral-Fusion-8b-v0.0) 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/ProdeusUnity/Astral-Fusion-8b-v0.0) for more details on the model. |
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--- |
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Model details: |
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- |
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We will see... Come with me, take the journey~ |
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Listen to the song on Youtube: https://www.youtube.com/watch?v=3FEFtFMBREA |
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Another attempt at a merge, not entirely related to Stellar Odyssey. I like it, so try it out? |
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Merged Models: |
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meta-llama/Llama-3-8b-Instruct |
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Sao10K_L3-8B-Stheno-v3.2 |
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Gryphe_Pantheon-RP-1.0-8b-Llama-3 |
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Celeste-Stable-v1.2 |
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This is a merge of pre-trained language models created using mergekit. |
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Edit: Celeste v1.2 Stable? |
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That itself is a merge, more to stablize Celeste since its training was at 256. It was merged with NeuralDareDevil via TIES |
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Merge Details |
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Merge Method |
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This model was merged using the della_linear merge method using C:\Users\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct as a base. |
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Models Merged |
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The following models were included in the merge: |
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C:\Users\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3 |
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C:\Users\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2 |
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C:\Users\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2 |
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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: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2 |
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parameters: |
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weight: 0.3 |
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density: 0.25 |
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- model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2 |
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parameters: |
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weight: 0.1 |
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density: 0.4 |
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- model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3 |
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parameters: |
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weight: 0.4 |
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density: 0.5 |
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merge_method: della_linear |
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base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct |
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parameters: |
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epsilon: 0.05 |
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lambda: 1 |
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merge_method: della_linear |
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dtype: bfloat16 |
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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/Astral-Fusion-8b-v0.0-Q4_K_M-GGUF --hf-file astral-fusion-8b-v0.0-q4_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/Astral-Fusion-8b-v0.0-Q4_K_M-GGUF --hf-file astral-fusion-8b-v0.0-q4_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/Astral-Fusion-8b-v0.0-Q4_K_M-GGUF --hf-file astral-fusion-8b-v0.0-q4_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/Astral-Fusion-8b-v0.0-Q4_K_M-GGUF --hf-file astral-fusion-8b-v0.0-q4_k_m.gguf -c 2048 |
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``` |
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