You can deploy this model and start earning money today!

rohannath/
AI_Doctor_Merged-Q8_0-GGUF

Name: AI_Doctor_Merged-Q8_0-GGUF
Availability: InStock

quantized

rohannath/AI_Doctor_Merged

Views

No views yet

rohannath/AI_Doctor_Merged-Q8_0-GGUF

This model was converted to GGUF format from rohannath/AI_Doctor_Merged using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Installation Guide(RECOMMENDED)

Step 1: Download the model

bash

cd C:\AI-Doctor
curl -L -o ai_doctor.gguf https://huggingface.co/rohannath/AI_Doctor_Merged-Q5_K_M-GGUF/resolve/main/ai_doctor_merged-q5_k_m.gguf

Step 2: Download the Modelfile from files and version and paste it in the AI-Doctor folder.

Step 3: Install ollama in your device and then run the code given below in command prompt.

bash

cd C:\AI-Doctor
ollama create ai-doctor -f Modelfile
ollama run ai-doctor

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

bash

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo rohannath/AI_Doctor_Merged-Q8_0-GGUF --hf-file ai_doctor_merged-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo rohannath/AI_Doctor_Merged-Q8_0-GGUF --hf-file ai_doctor_merged-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 rohannath/AI_Doctor_Merged-Q8_0-GGUF --hf-file ai_doctor_merged-q8_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo rohannath/AI_Doctor_Merged-Q8_0-GGUF --hf-file ai_doctor_merged-q8_0.gguf -c 2048