How to use from
Hermes Agent
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf StellaYoon/data-sql-7b-oracle-postgresql:Q4_K_M
Configure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default StellaYoon/data-sql-7b-oracle-postgresql:Q4_K_M
Run Hermes
hermes
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data-sql-7b-oracle-postgresql

This model is a fine-tuned version of Chinastark/DatA-SQL-7B on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 3

Training results

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.0
  • Pytorch 2.9.0+cu126
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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Model size
8B params
Architecture
qwen2
Hardware compatibility
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4-bit

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