Instructions to use RthItalia/Rth-lm-25b 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 RthItalia/Rth-lm-25b 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 RthItalia/Rth-lm-25b # Run inference directly in the terminal: llama cli -hf RthItalia/Rth-lm-25b
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RthItalia/Rth-lm-25b # Run inference directly in the terminal: llama cli -hf RthItalia/Rth-lm-25b
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 RthItalia/Rth-lm-25b # Run inference directly in the terminal: ./llama-cli -hf RthItalia/Rth-lm-25b
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 RthItalia/Rth-lm-25b # Run inference directly in the terminal: ./build/bin/llama-cli -hf RthItalia/Rth-lm-25b
Use Docker
docker model run hf.co/RthItalia/Rth-lm-25b
- LM Studio
- Jan
- Ollama
How to use RthItalia/Rth-lm-25b with Ollama:
ollama run hf.co/RthItalia/Rth-lm-25b
- Unsloth Desktop
- Docker Model Runner
How to use RthItalia/Rth-lm-25b with Docker Model Runner:
docker model run hf.co/RthItalia/Rth-lm-25b
- Lemonade
How to use RthItalia/Rth-lm-25b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RthItalia/Rth-lm-25b
Run and chat with the model
lemonade run user.Rth-lm-25b-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
| # 🦙 Ollama Modelfile for RTH-LM (Fractal TCN) | |
| # 1. Point to the GGUF file we generated | |
| FROM ./rth_lm_25b_v1.gguf | |
| # 2. Set Parameters | |
| PARAMETER temperature 0.7 | |
| PARAMETER top_k 40 | |
| PARAMETER top_p 0.9 | |
| # 3. Define the Prompt Template (Compatible with RTH-LM training) | |
| TEMPLATE """ | |
| {{ .Prompt }} | |
| """ | |
| # 4. Deployment Note | |
| # IMPORTANT: This model requires the 'ZetaGrid TCN Patch' for llama.cpp/Ollama | |
| # to support the Fractal Causal Convolution architecture. | |
| # See: https://huggingface.co/RthItalia/Rth-lm-25b/discussions for setup guide. | |