---
base_model: Delta-Vector/Hamanasu-Magnum-QwQ-32B
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
- PocketDoc/Dans-Personamaxx-Logs
- anthracite-org/kalo-opus-instruct-22k-no-refusal
- lodrick-the-lafted/kalo-opus-instruct-3k-filtered
- anthracite-org/nopm_claude_writing_fixed
- anthracite-org/kalo_opus_misc_240827
- anthracite-org/kalo_misc_part2
- NewEden/Claude-Instruct-5K
- NewEden/Claude-Instruct-2.7K
tags:
- qwen
- roleplay
- finetune
- storywriting
- llama-cpp
- gguf-my-repo
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/jg2NWmCUfPyzizm2USjMt.jpeg
---

# ThijsL202/Hamanasu-Magnum-QwQ-32B-Q6_K-GGUF
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.
Refer to the [original model card](https://huggingface.co/Delta-Vector/Hamanasu-Magnum-QwQ-32B) 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 ThijsL202/Hamanasu-Magnum-QwQ-32B-Q6_K-GGUF --hf-file hamanasu-magnum-qwq-32b-q6_k.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo ThijsL202/Hamanasu-Magnum-QwQ-32B-Q6_K-GGUF --hf-file hamanasu-magnum-qwq-32b-q6_k.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 ThijsL202/Hamanasu-Magnum-QwQ-32B-Q6_K-GGUF --hf-file hamanasu-magnum-qwq-32b-q6_k.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo ThijsL202/Hamanasu-Magnum-QwQ-32B-Q6_K-GGUF --hf-file hamanasu-magnum-qwq-32b-q6_k.gguf -c 2048
```