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--- |
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base_model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct |
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datasets: |
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- anthracite-org/stheno-filtered-v1.1 |
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- MinervaAI/Aesir-Preview |
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
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- anthracite-org/nopm_claude_writing_fixed |
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- Gryphe/Sonnet3.5-Charcard-Roleplay |
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- nothingiisreal/DirtyWritingPrompts |
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- Orion-zhen/tagged-pixiv-novel |
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language: |
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- zh |
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- en |
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license: gpl-3.0 |
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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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--- |
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# Triangle104/Meissa-Qwen2.5-7B-Instruct-Q8_0-GGUF |
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This model was converted to GGUF format from [`Orion-zhen/Meissa-Qwen2.5-7B-Instruct`](https://huggingface.co/Orion-zhen/Meissa-Qwen2.5-7B-Instruct) 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/Orion-zhen/Meissa-Qwen2.5-7B-Instruct) for more details on the model. |
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--- |
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Model details: |
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- |
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Meissa is designated Lambda Orionis, forms Orion's head, and is a multiple star with a combined apparent magnitude of 3.33. Its name means the "shining one". |
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This model is fine tuned over writing and role playing datasets (maybe the first on qwen2.5-7b), aiming to enhance model's performance in novel writing and roleplaying. |
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The model is fine-tuned over Orion-zhen/Qwen2.5-7B-Instruct-Uncensored |
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Training details |
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I used SFT method. Datasets used are listed below: |
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anthracite-org/stheno-filtered-v1.1 |
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MinervaAI/Aesir-Preview |
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Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
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anthracite-org/nopm_claude_writing_fixed |
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Gryphe/Sonnet3.5-Charcard-Roleplay |
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nothingiisreal/DirtyWritingPrompts |
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Orion-zhen/tagged-pixiv-novel |
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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/Meissa-Qwen2.5-7B-Instruct-Q8_0-GGUF --hf-file meissa-qwen2.5-7b-instruct-q8_0.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/Meissa-Qwen2.5-7B-Instruct-Q8_0-GGUF --hf-file meissa-qwen2.5-7b-instruct-q8_0.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/Meissa-Qwen2.5-7B-Instruct-Q8_0-GGUF --hf-file meissa-qwen2.5-7b-instruct-q8_0.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/Meissa-Qwen2.5-7B-Instruct-Q8_0-GGUF --hf-file meissa-qwen2.5-7b-instruct-q8_0.gguf -c 2048 |
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``` |
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