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Triangle104/Magnum_Backyard_Party_12b-Q6_K-GGUF

This model was converted to GGUF format from SzilviaB/Magnum_Backyard_Party_12b 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:

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

Merge Method

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

The following models were included in the merge:

Sao10K/MN-BackyardAI-Party-12B-v1
anthracite-org/magnum-v4-12b

Configuration

The following YAML configuration was used to produce this model:

models:

  • model: anthracite-org/magnum-v4-12b
  • model: Sao10K/MN-BackyardAI-Party-12B-v1 merge_method: slerp base_model: anthracite-org/magnum-v4-12b dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers

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/Magnum_Backyard_Party_12b-Q6_K-GGUF --hf-file magnum_backyard_party_12b-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Magnum_Backyard_Party_12b-Q6_K-GGUF --hf-file magnum_backyard_party_12b-q6_k.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/Magnum_Backyard_Party_12b-Q6_K-GGUF --hf-file magnum_backyard_party_12b-q6_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Magnum_Backyard_Party_12b-Q6_K-GGUF --hf-file magnum_backyard_party_12b-q6_k.gguf -c 2048
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llama

6-bit

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