---
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/jg2NWmCUfPyzizm2USjMt.jpeg
datasets:
- NewEden/Orion-LIT
- NewEden/Orion-Asstr-Stories-16K
- Mielikki/Erebus-87k
- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
- Nitral-AI/ARES-ShareGPT
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned-20k
- NewEden/Claude-Instruct-2.7K
- NewEden/Claude-Instruct-5K
- PocketDoc/Dans-Personamaxx-VN
- NewEden/vanilla-backrooms-claude-sharegpt
- PocketDoc/Dans-Prosemaxx-Cowriter-3-S
- NewEden/Misc-Mang-Sharegpt
- PocketDoc/Dans-Prosemaxx-Adventure
- PocketDoc/Dans-Failuremaxx-Adventure-3
- PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot
- PocketDoc/Dans-Prosemaxx-InstructWriter-Continue
base_model: Delta-Vector/Hamanasu-15B-Adventure
tags:
- phi
- roleplay
- finetune
- storywriting
- llama-cpp
- gguf-my-repo
---

# matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF
This model was converted to GGUF format from [`Delta-Vector/Hamanasu-15B-Adventure`](https://huggingface.co/Delta-Vector/Hamanasu-15B-Adventure) 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-15B-Adventure) 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 matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_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 matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo matrixportal/Hamanasu-15B-Adventure-Q4_0-GGUF --hf-file hamanasu-15b-adventure-q4_0.gguf -c 2048
```