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---
base_model: nothingiisreal/MN-12B-Starcannon-v3
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---
# Triangle104/MN-12B-Starcannon-v3-Q5_K_S-GGUF
This model was converted to GGUF format from [`nothingiisreal/MN-12B-Starcannon-v3`](https://huggingface.co/nothingiisreal/MN-12B-Starcannon-v3) 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-v3) for more details on the model.
---
Model details:
-
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:
anthracite-org/magnum-12b-v2
nothingiisreal/MN-12B-Celeste-V1.9
Configuration
-
The following YAML configuration was used to produce this model:
models:
- model: anthracite-org/magnum-12b-v2
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-v3-Q5_K_S-GGUF --hf-file mn-12b-starcannon-v3-q5_k_s.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/MN-12B-Starcannon-v3-Q5_K_S-GGUF --hf-file mn-12b-starcannon-v3-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/MN-12B-Starcannon-v3-Q5_K_S-GGUF --hf-file mn-12b-starcannon-v3-q5_k_s.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/MN-12B-Starcannon-v3-Q5_K_S-GGUF --hf-file mn-12b-starcannon-v3-q5_k_s.gguf -c 2048
```
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