Instructions to use altbrainblock/tiny_med_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use altbrainblock/tiny_med_es with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("altbrainblock/tiny_med_es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use altbrainblock/tiny_med_es 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 altbrainblock/tiny_med_es:Q4_K_M # Run inference directly in the terminal: llama cli -hf altbrainblock/tiny_med_es:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf altbrainblock/tiny_med_es:Q4_K_M # Run inference directly in the terminal: llama cli -hf altbrainblock/tiny_med_es:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf altbrainblock/tiny_med_es:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf altbrainblock/tiny_med_es:Q4_K_M
Use Docker
docker model run hf.co/altbrainblock/tiny_med_es:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use altbrainblock/tiny_med_es with Ollama:
ollama run hf.co/altbrainblock/tiny_med_es:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use altbrainblock/tiny_med_es with Docker Model Runner:
docker model run hf.co/altbrainblock/tiny_med_es:Q4_K_M
- Lemonade
How to use altbrainblock/tiny_med_es with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull altbrainblock/tiny_med_es:Q4_K_M
Run and chat with the model
lemonade run user.tiny_med_es-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download adapter_model.safetensors from altbrainblock/tiny_med_es: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/altbrainblock/tiny_med_es/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://altbrainblock/tiny_med_es/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/altbrainblock/tiny_med_es/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 87c3977fe75758007023b1c5d8abf7694bbf2e10be5a83c2f94a409576806afa
- Size of remote file:
- 168 MB
- SHA256:
- deaa3ad1f006df9631cf769b7d78cc22303789e5db2e0e7eab13421e72ede378
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