ruslandev/llama-3-70b-tagengo-GGUF

Uploaded model

• Developed by: ruslandev
• License: apache-2.0
• Finetuned from model : unsloth/llama-3-70b-bnb-4bit

This model is finetuned on the Tagengo dataset. Please note - this model has been created for educational purposes and it needs further training/fine tuning.

How to use

The easiest way to use this model on your own computer is to use the GGUF version of this model (ruslandev/llama-3-70b-tagengo-GGUF) using a program such as llama.cpp. If you want to use this model directly with the Huggingface Transformers stack, I recommend using my framework gptchain.

git clone https://github.com/RuslanPeresy/gptchain.git
cd gptchain
pip install -r requirements-train.txt
python gptchain.py chat -m ruslandev/llama-3-70b-tagengo \
    --chatml true \
    -q '[{"from": "human", "value": "Из чего состоит нейронная сеть?"}]'

Training

gptchain framework has been used for training.

python gptchain.py train -m unsloth/llama-3-70b-bnb-4bit \
    -dn tagengo_gpt4 \
    -sp checkpoints/llama-3-70b-tagengo \
    -hf llama-3-70b-tagengo \
    --max-steps 2400

Training hyperparameters

• learning_rate: 2e-4
• seed: 3407
• gradient_accumulation_steps: 4
• per_device_train_batch_size: 2
• optimizer: adamw_8bit
• lr_scheduler_type: linear
• warmup_steps: 5
• max_steps: 2400
• weight_decay: 0.01

Training results

wandb report

2400 steps took 7 hours on a single H100