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GainEnergy/OGAI-8x7b-Q4_K_M-GGUF

This model was converted to GGUF format from GainEnergy/OGAI-8x7b using llama.cpp. Refer to the original model card for more details on the model.

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 GainEnergy/OGAI-8x7b-Q4_K_M-GGUF --hf-file ogai-8x7b-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo GainEnergy/OGAI-8x7b-Q4_K_M-GGUF --hf-file ogai-8x7b-q4_k_m.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 GainEnergy/OGAI-8x7b-Q4_K_M-GGUF --hf-file ogai-8x7b-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo GainEnergy/OGAI-8x7b-Q4_K_M-GGUF --hf-file ogai-8x7b-q4_k_m.gguf -c 2048
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GGUF
Model size
46.7B params
Architecture
llama

4-bit

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Model tree for GainEnergy/OGAI-8x7b-Q4_K_M-GGUF

Datasets used to train GainEnergy/OGAI-8x7b-Q4_K_M-GGUF

Evaluation results

  • Drilling Calculations Accuracy on GainEnergy Oil & Gas Corpus
    self-reported
    94.800
  • Engineering Document Retrieval Precision on GainEnergy Oil & Gas Corpus
    self-reported
    91.200
  • Context Retention on GainEnergy Oil & Gas Corpus
    self-reported
    High