Instructions to use SeaLLMs/SeaLLM-7B-v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use SeaLLMs/SeaLLM-7B-v2-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 SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0
# Run inference directly in the terminal:
llama cli -hf SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0
# Run inference directly in the terminal:
llama cli -hf SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0

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 SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0

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 SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0

Use Docker

docker model run hf.co/SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0

LM Studio
Jan
Ollama
How to use SeaLLMs/SeaLLM-7B-v2-gguf with Ollama:
```
ollama run hf.co/SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0
```

Unsloth Studio

How to use SeaLLMs/SeaLLM-7B-v2-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for SeaLLMs/SeaLLM-7B-v2-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for SeaLLMs/SeaLLM-7B-v2-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for SeaLLMs/SeaLLM-7B-v2-gguf to start chatting

Docker Model Runner
How to use SeaLLMs/SeaLLM-7B-v2-gguf with Docker Model Runner:
```
docker model run hf.co/SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0
```

Lemonade

How to use SeaLLMs/SeaLLM-7B-v2-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SeaLLMs/SeaLLM-7B-v2-gguf:Q4_0

Run and chat with the model

lemonade run user.SeaLLM-7B-v2-gguf-Q4_0

List all available models

lemonade list

Atomic Chat

Attempting to use SeaLLM in Jan

by meshatech - opened Apr 1, 2024

Discussion

meshatech

Apr 1, 2024

•

edited Apr 1, 2024

However, it is not working that well. I'm getting stuff like "Confidence: 80% Confidence level: 75%" tagged to the end of messages. Is there something I'm doing wrong? I'm pretty new to this stuff so if anybody is willing to help set up, I'd appreciate it. This is the client I am using: https://jan.ai/

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