---
base_model: DoesntKnowAI/NitroOxziT-8B
tags:
- merge
- mergekit
- lazymergekit
- NousResearch/Hermes-3-Llama-3.1-8B
- cognitivecomputations/Dolphin3.0-Llama3.1-8B
- llama-cpp
- gguf-my-repo
---
# NitroOxziT-8B

NitroOxziT-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)
* [cognitivecomputations/Dolphin3.0-Llama3.1-8B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B)

Don't ask why the weird name, I wanted a modern merge of Hermes and Dolphin so I did it

Unquantized: [DoesntKnowAI/NitroOxziT-8B](https://huggingface.co/DoesntKnowAI/NitroOxziT-8B)

# DoesntKnowAI/NitroOxziT-8B-Q8_0-GGUF
This model was converted to GGUF format from [`DoesntKnowAI/NitroOxziT-8B`](https://huggingface.co/DoesntKnowAI/NitroOxziT-8B) 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/DoesntKnowAI/NitroOxziT-8B) for more details on the model.






## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: NousResearch/Hermes-3-Llama-3.1-8B
        layer_range: [0, 32]
        weight: 0.60
      - model: cognitivecomputations/Dolphin3.0-Llama3.1-8B
        layer_range: [0, 32]
        weight: 0.40
merge_method: slerp
parameters:
  t:
    - model: NousResearch/Hermes-3-Llama-3.1-8B
      value: 1.0
    - model: cognitivecomputations/Dolphin3.0-Llama3.1-8B
      value: 1.0
base_model: NousResearch/Hermes-3-Llama-3.1-8B
dtype: bfloat16
```

## 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 DoesntKnowAI/NitroOxziT-8B-Q8_0-GGUF --hf-file nitrooxzit-8b-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo DoesntKnowAI/NitroOxziT-8B-Q8_0-GGUF --hf-file nitrooxzit-8b-q8_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 DoesntKnowAI/NitroOxziT-8B-Q8_0-GGUF --hf-file nitrooxzit-8b-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo DoesntKnowAI/NitroOxziT-8B-Q8_0-GGUF --hf-file nitrooxzit-8b-q8_0.gguf -c 2048
```