README.md

metadata

base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
library_name: transformers
tags:
  - mergekit
  - merge
  - llama-cpp
  - gguf-my-repo
license: other
license_name: mrl
inference: false
license_link: https://mistral.ai/licenses/MRL-0.1.md

Triangle104/Cydonia-v1.2-Magnum-v4-22B-Q4_K_S-GGUF

This model was converted to GGUF format from knifeayumu/Cydonia-v1.2-Magnum-v4-22B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

---

Model details:

The Drummer becomes hornier

Recipe based on MarsupialAI/Monstral-123B. It should work since it's the same Mistral, TheDrummer and MarsupialAI, right?

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

This model was merged using the SLERP merge method. Models Merged

The following models were included in the merge:

TheDrummer/Cydonia-22B-v1.2
anthracite-org/magnum-v4-22b

Configuration

The following YAML configuration was used to produce this model:

models:

• model: TheDrummer/Cydonia-22B-v1.2
• model: anthracite-org/magnum-v4-22b merge_method: slerp base_model: TheDrummer/Cydonia-22B-v1.2 parameters: t: [0.1, 0.3, 0.6, 0.3, 0.1] dtype: bfloat16

---

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Cydonia-v1.2-Magnum-v4-22B-Q4_K_S-GGUF --hf-file cydonia-v1.2-magnum-v4-22b-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Cydonia-v1.2-Magnum-v4-22B-Q4_K_S-GGUF --hf-file cydonia-v1.2-magnum-v4-22b-q4_k_s.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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/Cydonia-v1.2-Magnum-v4-22B-Q4_K_S-GGUF --hf-file cydonia-v1.2-magnum-v4-22b-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Cydonia-v1.2-Magnum-v4-22B-Q4_K_S-GGUF --hf-file cydonia-v1.2-magnum-v4-22b-q4_k_s.gguf -c 2048