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--- |
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library_name: transformers |
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license: other |
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license_name: qwen |
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license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE |
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base_model: Sao10K/14B-Qwen2.5-Kunou-v1 |
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tags: |
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- generated_from_trainer |
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- llama-cpp |
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- gguf-my-repo |
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model-index: |
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- name: 14B-Qwen2.5-Kunou-v1 |
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results: [] |
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--- |
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# Triangle104/14B-Qwen2.5-Kunou-v1-Q8_0-GGUF |
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This model was converted to GGUF format from [`Sao10K/14B-Qwen2.5-Kunou-v1`](https://huggingface.co/Sao10K/14B-Qwen2.5-Kunou-v1) 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/Sao10K/14B-Qwen2.5-Kunou-v1) for more details on the model. |
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--- |
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Model details: |
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- |
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I do not really have anything planned for this model other than it being a generalist, and Roleplay Model? It was just something made and planned in minutes. |
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This is the little sister variant, the small 14B version. |
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Kunou's the name of an OC I worked on for a couple of years, for a... fanfic. mmm... |
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A kind-of successor to my smaller model series. It works pretty nicely I think? |
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This version is basically a better, more cleaned up Dataset used on Euryale and Stheno. |
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Recommended Model Settings | Look, I just use these, they work fine enough. I don't even know how DRY or other meme samplers work. Your system prompt matters more anyway. |
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Prompt Format: ChatML |
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Temperature: 1.1 |
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min_p: 0.1 |
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Special thanks to my wallet for funding this, my juniors who share a single braincell between them, and my current national service. |
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There have been more stabbings, accidents out there this winter season. It's wild. Stay safe everyone. |
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Also sorry for the inactivity. Life was in the way. It still is, just less so, for now. Burnout is a thing, huh? |
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https://sao10k.carrd.co/ for contact. |
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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 Triangle104/14B-Qwen2.5-Kunou-v1-Q8_0-GGUF --hf-file 14b-qwen2.5-kunou-v1-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 Triangle104/14B-Qwen2.5-Kunou-v1-Q8_0-GGUF --hf-file 14b-qwen2.5-kunou-v1-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 Triangle104/14B-Qwen2.5-Kunou-v1-Q8_0-GGUF --hf-file 14b-qwen2.5-kunou-v1-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 Triangle104/14B-Qwen2.5-Kunou-v1-Q8_0-GGUF --hf-file 14b-qwen2.5-kunou-v1-q8_0.gguf -c 2048 |
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``` |
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