Instructions to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B") model = AutoModelForCausalLM.from_pretrained("Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - llama-cpp-python
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B", filename="Linkbricks-Horizon-AI-Korean-Advanced-8B-bf16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16 # Run inference directly in the terminal: llama-cli -hf Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16 # Run inference directly in the terminal: llama-cli -hf Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
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 Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16 # Run inference directly in the terminal: ./llama-cli -hf Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
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 Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
Use Docker
docker model run hf.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
- LM Studio
- Jan
- vLLM
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
- SGLang
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with Ollama:
ollama run hf.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
- Unsloth Studio new
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B 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 Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B 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 Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B to start chatting
- Docker Model Runner
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with Docker Model Runner:
docker model run hf.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
- Lemonade
How to use Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B:BF16
Run and chat with the model
lemonade run user.Linkbricks-Horizon-AI-Korean-Advanced-8B-BF16
List all available models
lemonade list
Model Card for Model ID
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-ollama run benedict/linkbricks-hermes3-llama3.1-8b-korean-advanced-q4
-ollama run benedict/linkbricks-hermes3-llama3.1-8b-korean-advanced-q8
Finetuned by Mr. Yunsung Ji (Saxo), a data scientist at Linkbricks, a company specializing in AI and big data analytics
about 25% of total parameters Korean CPT(Continued-Pretraining)->SFT->DPO training model based on Hermes-3-Llama-3.1-8B through 8 H100-80Gs as a Korean language model
It is a model that has been trained to handle Korean-Chinese-English-Japanese cross-training data and 10M korean news corpus and logic judgment data for various tasks to enable cross-fertilization processing and complex Korean logic & math problems.
-Tokenizer uses the base model without word expansion
-Models enhanced with high-dimensional analysis of customer reviews and social posts, as well as coding, writing, math and decision making
-128k-Context Window
-Support for Korean Functioncall and Tool Calling
-Deepspeed Stage=3, use rslora and BAdam Layer Mode
- Downloads last month
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Model tree for Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B
Base model
meta-llama/Llama-3.1-8B