How to use from
Unsloth StudioInstall 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 Angelectronic/llama3-chat_QA-test to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Angelectronic/llama3-chat_QA-test to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Angelectronic/llama3-chat_QA-test",
max_seq_length=2048,
)Quick Links
llama3-chat_QA-test
This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0283
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: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0046 | 0.2928 | 100 | 1.8727 |
| 1.7686 | 0.5857 | 200 | 1.8637 |
| 1.6753 | 0.8785 | 300 | 1.8871 |
| 1.5211 | 1.1713 | 400 | 1.9180 |
| 1.4003 | 1.4641 | 500 | 1.9352 |
| 1.3533 | 1.7570 | 600 | 1.9609 |
| 1.2794 | 2.0498 | 700 | 2.0143 |
| 1.1736 | 2.3426 | 800 | 2.0222 |
| 1.1609 | 2.6354 | 900 | 2.0301 |
| 1.1577 | 2.9283 | 1000 | 2.0283 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
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Base model
unsloth/llama-3-8b-Instruct-bnb-4bit
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Angelectronic/llama3-chat_QA-test to start chatting