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gotzmann
/
1JV33

PEFT
Safetensors
llama-factory
lora
unsloth
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use gotzmann/1JV33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use gotzmann/1JV33 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "gotzmann/1JV33")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use gotzmann/1JV33 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 gotzmann/1JV33 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 gotzmann/1JV33 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for gotzmann/1JV33 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="gotzmann/1JV33",
        max_seq_length=2048,
    )
1JV33
7.47 GB
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  • 1 contributor
History: 2 commits
gotzmann's picture
gotzmann
..
698ec88 over 1 year ago
  • checkpoint-4000
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  • checkpoint-5000
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  • checkpoint-6000
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  • checkpoint-8000
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  • checkpoint-9000
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  • checkpoint-9253
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.23 kB
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  • adapter_config.json
    743 Bytes
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  • adapter_model.safetensors
    336 MB
    xet
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  • all_results.json
    210 Bytes
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  • special_tokens_map.json
    325 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    51.2 kB
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  • train_results.json
    210 Bytes
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  • trainer_log.jsonl
    2.25 MB
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  • trainer_state.json
    1.47 MB
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  • training_args.bin

    Detected Pickle imports (9)

    • "transformers.training_args.OptimizerNames",
    • "accelerate.state.PartialState",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "accelerate.utils.dataclasses.DistributedType"

    How to fix it?

    5.3 kB
    xet
    .. over 1 year ago