---
base_model: nothingiisreal/MN-12B-Starcannon-v2
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
license: apache-2.0
---

# Triangle104/MN-12B-Starcannon-v2-Q4_K_M-GGUF
This model was converted to GGUF format from [`nothingiisreal/MN-12B-Starcannon-v2`](https://huggingface.co/nothingiisreal/MN-12B-Starcannon-v2) 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/nothingiisreal/MN-12B-Starcannon-v2) for more details on the model.

---
Model details:
-
    A star and a gun is all you need

It's a bit magnum-esque but more creative with less Claude slop also higher in verbosity. Try and find out lol.

This is a merge of pre-trained language models created using mergekit.

This model was merged using the TIES merge method using nothingiisreal/MN-12B-Celeste-V1.9 as a base.

Merge fodder
-
The following models were included in the merge:

    nothingiisreal/MN-12B-Celeste-V1.9
    intervitens/mini-magnum-12b-v1.1

Configuration
-
The following YAML configuration was used to produce this model:

models:
    - model: intervitens/mini-magnum-12b-v1.1
      parameters:
        density: 0.3
        weight: 0.5
    - model: nothingiisreal/MN-12B-Celeste-V1.9
      parameters:
        density: 0.7
        weight: 0.5

merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
    normalize: true
    int8_mask: true
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/MN-12B-Starcannon-v2-Q4_K_M-GGUF --hf-file mn-12b-starcannon-v2-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/MN-12B-Starcannon-v2-Q4_K_M-GGUF --hf-file mn-12b-starcannon-v2-q4_k_m.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/MN-12B-Starcannon-v2-Q4_K_M-GGUF --hf-file mn-12b-starcannon-v2-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/MN-12B-Starcannon-v2-Q4_K_M-GGUF --hf-file mn-12b-starcannon-v2-q4_k_m.gguf -c 2048
```