Text Generation
PEFT
Safetensors
English
lora
qlora
sft
trl
text-to-sql
sql
conversational
Eval Results (legacy)
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
File size: 190 Bytes
54af938 | 1 2 3 4 5 6 7 | {
"total_flos": 2.3441226939026637e+17,
"train_loss": 0.5646523337894016,
"train_runtime": 6392.6844,
"train_samples_per_second": 1.689,
"train_steps_per_second": 0.106
} |