Triangle104/Mahou-1.5-mistral-nemo-12B-lorablated-Q8_0-GGUF

This model was converted to GGUF format from nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Model details:

This model was merged using the task arithmetic merge method using flammenai/Mahou-1.5-mistral-nemo-12B + nbeerbower/Mistral-Nemo-12B-abliterated-LORA as a base. Models Merged

The following models were included in the merge: Configuration

The following YAML configuration was used to produce this model:

base_model: flammenai/Mahou-1.5-mistral-nemo-12B+nbeerbower/Mistral-Nemo-12B-abliterated-LORA dtype: bfloat16 merge_method: task_arithmetic parameters: normalize: false slices:

• sources:
  • layer_range: [0, 32] model: flammenai/Mahou-1.5-mistral-nemo-12B+nbeerbower/Mistral-Nemo-12B-abliterated-LORA parameters: weight: 1.0

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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/Mahou-1.5-mistral-nemo-12B-lorablated-Q8_0-GGUF --hf-file mahou-1.5-mistral-nemo-12b-lorablated-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Mahou-1.5-mistral-nemo-12B-lorablated-Q8_0-GGUF --hf-file mahou-1.5-mistral-nemo-12b-lorablated-q8_0.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/Mahou-1.5-mistral-nemo-12B-lorablated-Q8_0-GGUF --hf-file mahou-1.5-mistral-nemo-12b-lorablated-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Mahou-1.5-mistral-nemo-12B-lorablated-Q8_0-GGUF --hf-file mahou-1.5-mistral-nemo-12b-lorablated-q8_0.gguf -c 2048