Instructions to use fjar86/erphermesl3-local 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 fjar86/erphermesl3-local 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 fjar86/erphermesl3-local:Q6_K # Run inference directly in the terminal: llama cli -hf fjar86/erphermesl3-local:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf fjar86/erphermesl3-local:Q6_K # Run inference directly in the terminal: llama cli -hf fjar86/erphermesl3-local:Q6_K
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 fjar86/erphermesl3-local:Q6_K # Run inference directly in the terminal: ./llama-cli -hf fjar86/erphermesl3-local:Q6_K
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 fjar86/erphermesl3-local:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf fjar86/erphermesl3-local:Q6_K
Use Docker
docker model run hf.co/fjar86/erphermesl3-local:Q6_K
- LM Studio
- Jan
- Ollama
How to use fjar86/erphermesl3-local with Ollama:
ollama run hf.co/fjar86/erphermesl3-local:Q6_K
- Unsloth Desktop
- Docker Model Runner
How to use fjar86/erphermesl3-local with Docker Model Runner:
docker model run hf.co/fjar86/erphermesl3-local:Q6_K
- Lemonade
How to use fjar86/erphermesl3-local with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fjar86/erphermesl3-local:Q6_K
Run and chat with the model
lemonade run user.erphermesl3-local-Q6_K
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
ERPHERMESL3 Local GGUF
Original Ollama model:
reefer/erphermesl3:latest
Format
GGUF
File
erphermesl3-Q6_K.gguf
Size
6.143 GB
SHA256
c9f5aeec4f881721ffc69cf3d2576ce6727cd17ed0a5eedbc3432a382a259c79
Runtime
The model can be loaded directly using llama.cpp.
Ollama is not required for the final inference application.
Verification
SHA256SUMS is provided to verify model integrity.
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Hardware compatibility
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