Instructions to use city96/t5-v1_1-xxl-encoder-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use city96/t5-v1_1-xxl-encoder-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 city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf city96/t5-v1_1-xxl-encoder-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 city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf city96/t5-v1_1-xxl-encoder-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 city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf city96/t5-v1_1-xxl-encoder-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 city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M
Use Docker
docker model run hf.co/city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use city96/t5-v1_1-xxl-encoder-gguf with Ollama:
ollama run hf.co/city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use city96/t5-v1_1-xxl-encoder-gguf with Docker Model Runner:
docker model run hf.co/city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M
- Lemonade
How to use city96/t5-v1_1-xxl-encoder-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull city96/t5-v1_1-xxl-encoder-gguf:Q4_K_M
Run and chat with the model
lemonade run user.t5-v1_1-xxl-encoder-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download t5-v1_1-xxl-encoder-Q4_K_M.gguf from city96/t5-v1_1-xxl-encoder-gguf: direct link, hf CLI and curl.
- Browser
- Download file 2.9 GB
-
https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q4_K_M.gguf
- Command line
-
hf download hf://city96/t5-v1_1-xxl-encoder-gguf/t5-v1_1-xxl-encoder-Q4_K_M.gguf
-
curl -L -o t5-v1_1-xxl-encoder-Q4_K_M.gguf https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q4_K_M.gguf
2.9 GB
- Xet hash:
- b81736be64a66ed76abefcb5341218f5d4f65a5b022daeb151849fe63d31b1c4
- Size of remote file:
- 2.9 GB
- SHA256:
- 6be2b0b7e2de7cf2919340c88cb802a103a997ce46c53131cec91958c1db1af4
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