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anthonym21
/
slipstream-glm-z1-9b

Text Generation
PEFT
Safetensors
English
slipstream
multi-agent
semantic-quantization
agent-communication
think-quantize-transmit
lora
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use anthonym21/slipstream-glm-z1-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use anthonym21/slipstream-glm-z1-9b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-Z1-9B-0414")
    model = PeftModel.from_pretrained(base_model, "anthonym21/slipstream-glm-z1-9b")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use anthonym21/slipstream-glm-z1-9b 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 anthonym21/slipstream-glm-z1-9b 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 anthonym21/slipstream-glm-z1-9b to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for anthonym21/slipstream-glm-z1-9b to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="anthonym21/slipstream-glm-z1-9b",
        max_seq_length=2048,
    )
slipstream-glm-z1-9b
130 MB
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  • 1 contributor
History: 4 commits
anthonym21's picture
anthonym21
Update README.md
5e39571 verified 4 months ago
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chat_template.jinja
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  • special_tokens_map.json
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  • tokenizer.json
    20 MB
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  • tokenizer_config.json
    2.98 kB
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