| --- |
| thumbnail: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/jg2NWmCUfPyzizm2USjMt.jpeg |
| datasets: |
| - NewEden/Orion-LIT |
| - NewEden/Orion-Asstr-Stories-16K |
| - Mielikki/Erebus-87k |
| - NewEden/RP-logs-V2-Experimental-prefixed |
| - NewEden/Creative_Writing-Complexity |
| - NewEden/Discord-Filtered |
| - NewEden/DeepseekRP-Filtered |
| - NewEden/Storium-Prefixed-Clean |
| - NewEden/Basket-Weaving-Filtered |
| - NewEden/LIMARP-Complexity |
| - NewEden/Misc-Data-Sharegpt-Prefixed |
| - NewEden/BlueSky-10K-Complexity |
| - NewEden/OpenCAI-ShareGPT |
| - NewEden/Basket-Weaving-Filtered |
| - PocketDoc/Dans-Personamaxx-VN |
| - PocketDoc/Dans-Kinomaxx-VanillaBackrooms |
| base_model: Delta-Vector/Hamanasu-QwQ-V2-RP |
| tags: |
| - qwen |
| - roleplay |
| - finetune |
| - storywriting |
| - llama-cpp |
| - gguf-my-repo |
| --- |
| |
| # EloyOn/Hamanasu-QwQ-V2-RP-Q5_0-GGUF |
| This model was converted to GGUF format from [`Delta-Vector/Hamanasu-QwQ-V2-RP`](https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V2-RP) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
| Refer to the [original model card](https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V2-RP) for more details on the model. |
| |
| ## Use with llama.cpp |
| Install llama.cpp through brew (works on Mac and Linux) |
| |
| ```bash |
| brew install llama.cpp |
| |
| ``` |
| Invoke the llama.cpp server or the CLI. |
| |
| ### CLI: |
| ```bash |
| llama-cli --hf-repo EloyOn/Hamanasu-QwQ-V2-RP-Q5_0-GGUF --hf-file hamanasu-qwq-v2-rp-q5_0.gguf -p "The meaning to life and the universe is" |
| ``` |
| |
| ### Server: |
| ```bash |
| llama-server --hf-repo EloyOn/Hamanasu-QwQ-V2-RP-Q5_0-GGUF --hf-file hamanasu-qwq-v2-rp-q5_0.gguf -c 2048 |
| ``` |
| |
| 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. |
| |
| Step 1: Clone llama.cpp from GitHub. |
| ``` |
| git clone https://github.com/ggerganov/llama.cpp |
| ``` |
| |
| 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). |
| ``` |
| cd llama.cpp && LLAMA_CURL=1 make |
| ``` |
| |
| Step 3: Run inference through the main binary. |
| ``` |
| ./llama-cli --hf-repo EloyOn/Hamanasu-QwQ-V2-RP-Q5_0-GGUF --hf-file hamanasu-qwq-v2-rp-q5_0.gguf -p "The meaning to life and the universe is" |
| ``` |
| or |
| ``` |
| ./llama-server --hf-repo EloyOn/Hamanasu-QwQ-V2-RP-Q5_0-GGUF --hf-file hamanasu-qwq-v2-rp-q5_0.gguf -c 2048 |
| ``` |
| |
