---
base_model: ProdeusUnity/Astral-Fusion-8b-v0.0
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---

# Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF
This model was converted to GGUF format from [`ProdeusUnity/Astral-Fusion-8b-v0.0`](https://huggingface.co./ProdeusUnity/Astral-Fusion-8b-v0.0) 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./ProdeusUnity/Astral-Fusion-8b-v0.0) for more details on the model.

---
Model details:
-
We will see... Come with me, take the journey~

Listen to the song on Youtube: https://www.youtube.com/watch?v=3FEFtFMBREA

Another attempt at a merge, not entirely related to Stellar Odyssey. I like it, so try it out?

Merged Models:

    meta-llama/Llama-3-8b-Instruct
    Sao10K_L3-8B-Stheno-v3.2
    Gryphe_Pantheon-RP-1.0-8b-Llama-3
    Celeste-Stable-v1.2

This is a merge of pre-trained language models created using mergekit.
Edit: Celeste v1.2 Stable?

That itself is a merge, more to stablize Celeste since its training was at 256. It was merged with NeuralDareDevil via TIES
Merge Details
Merge Method

This model was merged using the della_linear merge method using C:\Users\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct as a base.
Models Merged

The following models were included in the merge:

    C:\Users\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3
    C:\Users\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2
    C:\Users\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2
    parameters:
      weight: 0.3
      density: 0.25
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2
    parameters:
      weight: 0.1
      density: 0.4
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3
    parameters:
      weight: 0.4
      density: 0.5
merge_method: della_linear
base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct
parameters:
  epsilon: 0.05
  lambda: 1
merge_method: della_linear
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 Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.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 Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Astral-Fusion-8b-v0.0-Q5_K_S-GGUF --hf-file astral-fusion-8b-v0.0-q5_k_s.gguf -c 2048
```