PEFT
Safetensors
adapter
instruct-tuning
Mistral7B
Batch_Size-4
Epoch-1
trl
sft
unsloth
Generated from Trainer
Instructions to use TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2-bnb-4bit") model = PeftModel.from_pretrained(base_model, "TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B 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 TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B 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 TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B", max_seq_length=2048, )
- Xet hash:
- 285ea52effead36e6b92464edcd739e31d223dde577758db1413002a73fd9149
- Size of remote file:
- 5.43 kB
- SHA256:
- 8dc7df8a3ed88141a9f06123628dee2c4b2e02ec4e4b63b069e2600d98b192cd
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