|
--- |
|
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-Q8_0-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-Q8_0-GGUF --hf-file msm-ms-cydrion-22b-q8_0.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo Triangle104/MSM-MS-Cydrion-22B-Q8_0-GGUF --hf-file msm-ms-cydrion-22b-q8_0.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-Q8_0-GGUF --hf-file msm-ms-cydrion-22b-q8_0.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo Triangle104/MSM-MS-Cydrion-22B-Q8_0-GGUF --hf-file msm-ms-cydrion-22b-q8_0.gguf -c 2048 |
|
``` |
|
|