Summarization
Transformers
GGUF
English
Romanian
text-generation
medical-ai
diagnostic-reasoning
gemma-3
fine-tuned
conversational
Instructions to use mradermacher/Medra27B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Medra27B-GGUF with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="mradermacher/Medra27B-GGUF")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Medra27B-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Medra27B-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/Medra27B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Medra27B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/Medra27B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Medra27B-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf mradermacher/Medra27B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Medra27B-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf mradermacher/Medra27B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Medra27B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Medra27B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Medra27B-GGUF with Ollama:
ollama run hf.co/mradermacher/Medra27B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/Medra27B-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Medra27B-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Medra27B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Medra27B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Medra27B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
uploaded from nico1
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