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aixk
/
0.7B-Bilingual-ChatML

PyTorch
GGUF
llama
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use aixk/0.7B-Bilingual-ChatML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use aixk/0.7B-Bilingual-ChatML with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="aixk/0.7B-Bilingual-ChatML",
    	filename="model_f16.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "No input example has been defined for this model task."
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use aixk/0.7B-Bilingual-ChatML with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf aixk/0.7B-Bilingual-ChatML:F16
    # Run inference directly in the terminal:
    llama-cli -hf aixk/0.7B-Bilingual-ChatML:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf aixk/0.7B-Bilingual-ChatML:F16
    # Run inference directly in the terminal:
    llama-cli -hf aixk/0.7B-Bilingual-ChatML:F16
    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 aixk/0.7B-Bilingual-ChatML:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf aixk/0.7B-Bilingual-ChatML:F16
    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 aixk/0.7B-Bilingual-ChatML:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf aixk/0.7B-Bilingual-ChatML:F16
    Use Docker
    docker model run hf.co/aixk/0.7B-Bilingual-ChatML:F16
  • LM Studio
  • Jan
  • Ollama

    How to use aixk/0.7B-Bilingual-ChatML with Ollama:

    ollama run hf.co/aixk/0.7B-Bilingual-ChatML:F16
  • Unsloth Studio new

    How to use aixk/0.7B-Bilingual-ChatML 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 aixk/0.7B-Bilingual-ChatML 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 aixk/0.7B-Bilingual-ChatML to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for aixk/0.7B-Bilingual-ChatML to start chatting
  • Docker Model Runner

    How to use aixk/0.7B-Bilingual-ChatML with Docker Model Runner:

    docker model run hf.co/aixk/0.7B-Bilingual-ChatML:F16
  • Lemonade

    How to use aixk/0.7B-Bilingual-ChatML with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull aixk/0.7B-Bilingual-ChatML:F16
    Run and chat with the model
    lemonade run user.0.7B-Bilingual-ChatML-F16
    List all available models
    lemonade list
0.7B-Bilingual-ChatML
5.15 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
aixk's picture
aixk
Update README.md
88e5120 verified about 2 months ago
  • .gitattributes
    1.62 kB
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • README.md
    13.3 kB
    Update README.md about 2 months ago
  • chat_template.jinja
    815 Bytes
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • config.json
    302 Bytes
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • model_f16.gguf
    1.56 GB
    xet
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • model_q4_k_m.gguf
    478 MB
    xet
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    3.11 GB
    xet
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • tokenizer.json
    3.62 MB
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • tokenizer.model
    500 kB
    xet
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago
  • tokenizer_config.json
    349 Bytes
    Upload scratch-built 0.7B bilingual model and 4-bit GGUF quantization 2 months ago