Instructions to use PyThaGo/LitSeekR1 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 PyThaGo/LitSeekR1 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 PyThaGo/LitSeekR1 # Run inference directly in the terminal: llama cli -hf PyThaGo/LitSeekR1
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf PyThaGo/LitSeekR1 # Run inference directly in the terminal: llama cli -hf PyThaGo/LitSeekR1
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 PyThaGo/LitSeekR1 # Run inference directly in the terminal: ./llama-cli -hf PyThaGo/LitSeekR1
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 PyThaGo/LitSeekR1 # Run inference directly in the terminal: ./build/bin/llama-cli -hf PyThaGo/LitSeekR1
Use Docker
docker model run hf.co/PyThaGo/LitSeekR1
- LM Studio
- Jan
- Ollama
How to use PyThaGo/LitSeekR1 with Ollama:
ollama run hf.co/PyThaGo/LitSeekR1
- Unsloth Desktop
- Docker Model Runner
How to use PyThaGo/LitSeekR1 with Docker Model Runner:
docker model run hf.co/PyThaGo/LitSeekR1
- Lemonade
How to use PyThaGo/LitSeekR1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull PyThaGo/LitSeekR1
Run and chat with the model
lemonade run user.LitSeekR1-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Cristian Sas commited on
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ metrics:
|
|
| 18 |
# Model Card for LitSeek
|
| 19 |
|
| 20 |
## Quick Summary
|
| 21 |
-
|
| 22 |
|
| 23 |
## Model Details
|
| 24 |
|
|
|
|
| 18 |
# Model Card for LitSeek
|
| 19 |
|
| 20 |
## Quick Summary
|
| 21 |
+
LitSeek is a high-performance, multilingual large language model (LLM) fine-tuned from LLMLIT, DeepSeek and Meta's Llama 3.1 8B Instruct model. Designed for English and NLP tasks, LitSeek leverages advanced instruction-following capabilities to provide accurate, context-aware, and efficient results across diverse applications.
|
| 22 |
|
| 23 |
## Model Details
|
| 24 |
|