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README.md
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---
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base_model: Delta-Vector/Hamanasu-Magnum-QwQ-32B
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datasets:
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- NewEden/Orion-LIT
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- NewEden/Orion-Asstr-Stories-16K
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- Mielikki/Erebus-87k
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- NewEden/RP-logs-V2-Experimental-prefixed
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- NewEden/Creative_Writing-Complexity
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- NewEden/Discord-Filtered
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- NewEden/DeepseekRP-Filtered
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- NewEden/Storium-Prefixed-Clean
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- NewEden/Basket-Weaving-Filtered
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- NewEden/LIMARP-Complexity
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- NewEden/Misc-Data-Sharegpt-Prefixed
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- NewEden/BlueSky-10K-Complexity
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- NewEden/OpenCAI-ShareGPT
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- NewEden/Basket-Weaving-Filtered
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- PocketDoc/Dans-Personamaxx-VN
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- PocketDoc/Dans-Kinomaxx-VanillaBackrooms
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- PocketDoc/Dans-Personamaxx-Logs
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- anthracite-org/kalo-opus-instruct-22k-no-refusal
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- lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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- anthracite-org/nopm_claude_writing_fixed
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- anthracite-org/kalo_opus_misc_240827
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- anthracite-org/kalo_misc_part2
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- NewEden/Claude-Instruct-5K
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- NewEden/Claude-Instruct-2.7K
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tags:
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- qwen
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- roleplay
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- finetune
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- storywriting
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- llama-cpp
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- gguf-my-repo
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thumbnail: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/jg2NWmCUfPyzizm2USjMt.jpeg
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---
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# Triangle104/Hamanasu-Magnum-QwQ-32B-Q4_K_M-GGUF
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This model was converted to GGUF format from [`Delta-Vector/Hamanasu-Magnum-QwQ-32B`](https://huggingface.co/Delta-Vector/Hamanasu-Magnum-QwQ-32B) 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/Delta-Vector/Hamanasu-Magnum-QwQ-32B) for more details on the model.
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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/Hamanasu-Magnum-QwQ-32B-Q4_K_M-GGUF --hf-file hamanasu-magnum-qwq-32b-q4_k_m.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/Hamanasu-Magnum-QwQ-32B-Q4_K_M-GGUF --hf-file hamanasu-magnum-qwq-32b-q4_k_m.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/Hamanasu-Magnum-QwQ-32B-Q4_K_M-GGUF --hf-file hamanasu-magnum-qwq-32b-q4_k_m.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/Hamanasu-Magnum-QwQ-32B-Q4_K_M-GGUF --hf-file hamanasu-magnum-qwq-32b-q4_k_m.gguf -c 2048
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```
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