Transformers
Safetensors
Generated from Trainer
rl-swarm
grpo
gensyn
I am jagged hunting beaver
unsloth
trl
Instructions to use aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver to start chatting
Install 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 aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="aksamlan/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-jagged_hunting_beaver", max_seq_length=2048, )
End of training
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +108 -108
- training_args.bin +1 -1
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