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Triangle104/hermes-stheno-8B-v0.1-Q6_K-GGUF

This model was converted to GGUF format from harkov000/hermes-stheno-8B-v0.1 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/Llama-3.1-8B-Stheno-v3.4
NousResearch/Hermes-3-Llama-3.1-8B

Configuration

The following YAML configuration was used to produce this model:

slices:

  • sources:
    • model: NousResearch/Hermes-3-Llama-3.1-8B layer_range:
      • 0
      • 32
    • model: Sao10K/Llama-3.1-8B-Stheno-v3.4 layer_range:
      • 0
      • 32 merge_method: slerp base_model: NousResearch/Hermes-3-Llama-3.1-8B parameters: t: [0.0, 0.15, 0.3, 0.15, 0.0] 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/hermes-stheno-8B-v0.1-Q6_K-GGUF --hf-file hermes-stheno-8b-v0.1-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/hermes-stheno-8B-v0.1-Q6_K-GGUF --hf-file hermes-stheno-8b-v0.1-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/hermes-stheno-8B-v0.1-Q6_K-GGUF --hf-file hermes-stheno-8b-v0.1-q6_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/hermes-stheno-8B-v0.1-Q6_K-GGUF --hf-file hermes-stheno-8b-v0.1-q6_k.gguf -c 2048
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llama

6-bit

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