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--- |
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base_model: GainEnergy/OGAI-8x7b |
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datasets: |
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- GainEnergy/ogai-8x7B |
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- GainEnergy/oilandgas-engineering-dataset |
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- GainEnergy/ogdataset |
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- GainEnergy/upstrimacentral |
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library_name: transformers |
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license: mit |
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tags: |
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- oil-gas |
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- drilling-engineering |
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- mixtral-8x7b |
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- lora |
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- fine-tuned |
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- energy-ai |
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- retrieval-augmented-generation |
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- llama-cpp |
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- gguf-my-repo |
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model-index: |
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- name: OGAI-8x7B |
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results: |
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- task: |
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type: text-generation |
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name: Drilling Engineering AI |
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dataset: |
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name: GainEnergy Oil & Gas Corpus |
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type: custom |
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metrics: |
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- type: accuracy |
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value: 94.8 |
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name: Drilling Calculations Accuracy |
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- type: precision |
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value: 91.2 |
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name: Engineering Document Retrieval Precision |
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- type: contextual-coherence |
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value: High |
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name: Context Retention |
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--- |
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# GainEnergy/OGAI-8x7b-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`GainEnergy/OGAI-8x7b`](https://huggingface.co/GainEnergy/OGAI-8x7b) using llama.cpp. |
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Refer to the [original model card](https://huggingface.co/GainEnergy/OGAI-8x7b) for more details on the model. |
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## Use with Ollama |
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Execute the following |
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```bash |
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ollama run hf.co/GainEnergy/OGAI-8x7b-Q4_K_M-GGUF:latest |
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``` |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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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" |
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``` |
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### Server: |
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```bash |
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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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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./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" |
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``` |
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or |
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``` |
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./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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``` |
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