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README.md

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+---
+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
+```