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SASVAAI
/
GLM-4.7-Flash-sql-create-context

Text Generation
PEFT
Safetensors
English
lora
qlora
sft
trl
text-to-sql
sql
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use SASVAAI/GLM-4.7-Flash-sql-create-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use SASVAAI/GLM-4.7-Flash-sql-create-context with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.7-Flash")
    model = PeftModel.from_pretrained(base_model, "SASVAAI/GLM-4.7-Flash-sql-create-context")
  • Notebooks
  • Google Colab
  • Kaggle
GLM-4.7-Flash-sql-create-context
493 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
msingh-psl's picture
msingh-psl
Poojanbuselvan's picture
Poojanbuselvan
Add LoRA adapter, model card, and eval artifacts (#1)
54af938 24 days ago
  • .gitattributes
    1.57 kB
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  • LICENSE
    1.63 kB
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  • README.md
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  • adapter_config.json
    1.09 kB
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  • adapter_model.safetensors
    473 MB
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  • all_results.json
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  • chat_template.jinja
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  • eval_results.json
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  • predictions.jsonl
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  • tokenizer.json
    20.2 MB
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  • tokenizer_config.json
    335 Bytes
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  • train_results.json
    190 Bytes
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  • trainer_state.json
    21 kB
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