---
base_model: ProdeusUnity/Prismatic-12b
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---

# Triangle104/Prismatic-12b-Q4_K_S-GGUF
This model was converted to GGUF format from [`ProdeusUnity/Prismatic-12b`](https://huggingface.co/ProdeusUnity/Prismatic-12b) 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/Prismatic-12b) for more details on the model.

---
Model details:
-
The sparkling courage I longed for, what I got is small... My tears are surely the prism of tomorrow... Say "Hello!" to the ideal future, let's go see them~

Listen to the song on youtube: https://www.youtube.com/watch?v=v3I6EVlyPx4

One off merge for a friend, though it came out rather good, I like it, so try it?

mistralai/Mistral-Nemo-Base-2407 inflatebot/MN-12b-Mag-Mell-R1 nbeerbower/Mistral-Nemo-Prism-12B-v5

License for this model Apache 2.0

Format: Mistral Tekken or ChatML

Thank you to AuriAetherwiing for helping me merge the models and for providing compute (A40).

Details

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

This model was merged using the ties merge method using mistralai_Mistral-Nemo-Base-2407 as a base.
Models Merged

Models Merged The following models were included in the merge:

/inflatebot_MN-12B-Mag-Mell-R1 /nbeerbower_Mistral-Nemo-Prism-12B-v5
Configuration

The following YAML configuration was used to produce this model:

models:

    model: /inflatebot_MN-12B-Mag-Mell-R1 parameters: weight: 0.3 density: 0.5
    model: /nbeerbower_Mistral-Nemo-Prism-12B-v5 parameters: weight: 0.4 density: 0.75 base_model: /mistralai_Mistral-Nemo-Base-2407 parameters: epsilon: 0.05 normalize: true lambda: 1 merge_method: ties 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/Prismatic-12b-Q4_K_S-GGUF --hf-file prismatic-12b-q4_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Prismatic-12b-Q4_K_S-GGUF --hf-file prismatic-12b-q4_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/Prismatic-12b-Q4_K_S-GGUF --hf-file prismatic-12b-q4_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Prismatic-12b-Q4_K_S-GGUF --hf-file prismatic-12b-q4_k_s.gguf -c 2048
```