metadata

base_model: ruslanmv/Medical-Llama3-8B
datasets:
  - ruslanmv/ai-medical-chatbot
language: en
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - ruslanmv
  - llama
  - trl
  - llama-3
  - instruct
  - finetune
  - chatml
  - DPO
  - RLHF
  - gpt4
  - distillation
  - heathcare
  - medical
  - clinical
  - med
  - lifescience
  - Pharmaceutical
  - Pharma
  - llama-cpp
  - gguf-my-repo
widget:
  - example_title: Medical-Llama3-8B
    messages:
      - role: system
        content: >-
          You are an expert and experienced from the healthcare and biomedical
          domain with extensive medical knowledge and practical experience.
      - role: user
        content: How long does it take for newborn jaundice to go away?
    output:
      text: >-
        Newborn jaundice, also known as neonatal jaundice, is a common condition
        in newborns where the yellowing of the skin and eyes occurs due to an
        elevated level of bilirubin in the blood. Bilirubin is a yellow pigment
        that forms when red blood cells break down. In most cases, newborn
        jaundice resolves on its own without any specific treatment. The
        duration of newborn jaundice can vary depending on several factors such
        as the underlying cause, gestational age at birth, and individual
        variations in bilirubin metabolism. Here are some general guidelines
model-index:
  - name: Medical-Llama3-8B
    results: []

genevera/Medical-Llama3-8B-Q6_K-GGUF

This model was converted to GGUF format from ruslanmv/Medical-Llama3-8B using llama.cpp via the ggml.ai's GGUF-my-repo space. 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 genevera/Medical-Llama3-8B-Q6_K-GGUF --hf-file medical-llama3-8b-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo genevera/Medical-Llama3-8B-Q6_K-GGUF --hf-file medical-llama3-8b-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 genevera/Medical-Llama3-8B-Q6_K-GGUF --hf-file medical-llama3-8b-q6_k.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo genevera/Medical-Llama3-8B-Q6_K-GGUF --hf-file medical-llama3-8b-q6_k.gguf -c 2048