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--- |
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base_model: ProdeusUnity/Prismatic-12b |
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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/Prismatic-12b-Q5_K_S-GGUF |
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This model was converted to GGUF format from [`ProdeusUnity/Prismatic-12b`](https://huggingface.co/ProdeusUnity/Prismatic-12b) 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/Prismatic-12b) for more details on the model. |
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--- |
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Model details: |
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The sparkling courage I longed for, what I got is small... My tears are surely the prism of tomorrow... Say "Hello!" to the ideal future, let's go see them~ |
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Listen to the song on youtube: https://www.youtube.com/watch?v=v3I6EVlyPx4 |
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One off merge for a friend, though it came out rather good, I like it, so try it? |
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mistralai/Mistral-Nemo-Base-2407 inflatebot/MN-12b-Mag-Mell-R1 nbeerbower/Mistral-Nemo-Prism-12B-v5 |
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License for this model Apache 2.0 |
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Format: Mistral Tekken or ChatML |
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Thank you to AuriAetherwiing for helping me merge the models and for providing compute (A40). |
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Details |
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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 ties merge method using mistralai_Mistral-Nemo-Base-2407 as a base. |
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Models Merged |
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Models Merged The following models were included in the merge: |
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/inflatebot_MN-12B-Mag-Mell-R1 /nbeerbower_Mistral-Nemo-Prism-12B-v5 |
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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: /inflatebot_MN-12B-Mag-Mell-R1 parameters: weight: 0.3 density: 0.5 |
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model: /nbeerbower_Mistral-Nemo-Prism-12B-v5 parameters: weight: 0.4 density: 0.75 base_model: /mistralai_Mistral-Nemo-Base-2407 parameters: epsilon: 0.05 normalize: true lambda: 1 merge_method: ties 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/Prismatic-12b-Q5_K_S-GGUF --hf-file prismatic-12b-q5_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/Prismatic-12b-Q5_K_S-GGUF --hf-file prismatic-12b-q5_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/Prismatic-12b-Q5_K_S-GGUF --hf-file prismatic-12b-q5_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/Prismatic-12b-Q5_K_S-GGUF --hf-file prismatic-12b-q5_k_s.gguf -c 2048 |
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``` |
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