---
base_model: Steelskull/MSM-MS-Cydrion-22B
library_name: transformers
license: apache-2.0
tags:
- merge
- llama-cpp
- gguf-my-repo
---

# Triangle104/MSM-MS-Cydrion-22B-Q4_K_S-GGUF
This model was converted to GGUF format from [`Steelskull/MSM-MS-Cydrion-22B`](https://huggingface.co/Steelskull/MSM-MS-Cydrion-22B) 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/Steelskull/MSM-MS-Cydrion-22B) for more details on the model.

---
Model details:
-
Meet Cydrion, the attempt of fusion for creativity and intelligence.

Creator: SteelSkull
About Cydrion-22B:

Name Legend:
MSM = Mistral-Small
MS = Model Stock
22b = its 22b
      

This model merges the robust storytelling of Cydonia with the creative edge of Acolyte, ArliAI-RPMax, and Gutenberg with some special sauce.

Use Mistral Format
Quants:

My Quants:MSM-MS-Cydrion-22B-Q6_K-GGUF
Config:

MODEL_NAME = "MSM-MS-Cydrion-22B"
yaml_config = """
base_model: Steelskull/Merged-v2
merge_method: model_stock
dtype: bfloat16
models:
  - model: TheDrummer/Cydonia-22B-v1.1
  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
  - model: nbeerbower/Mistral-Small-Gutenberg-Doppel-22B
  - model: rAIfle/Acolyte-22B
"""

---
## 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/MSM-MS-Cydrion-22B-Q4_K_S-GGUF --hf-file msm-ms-cydrion-22b-q4_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/MSM-MS-Cydrion-22B-Q4_K_S-GGUF --hf-file msm-ms-cydrion-22b-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/MSM-MS-Cydrion-22B-Q4_K_S-GGUF --hf-file msm-ms-cydrion-22b-q4_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/MSM-MS-Cydrion-22B-Q4_K_S-GGUF --hf-file msm-ms-cydrion-22b-q4_k_s.gguf -c 2048
```