Instructions to use pacozaa/tinyllama-alpaca-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pacozaa/tinyllama-alpaca-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pacozaa/tinyllama-alpaca-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use pacozaa/tinyllama-alpaca-lora 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 pacozaa/tinyllama-alpaca-lora 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 pacozaa/tinyllama-alpaca-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for pacozaa/tinyllama-alpaca-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="pacozaa/tinyllama-alpaca-lora", max_seq_length=2048, )
File size: 692 Bytes
1e00f32 c7320bc 1e00f32 c7320bc 1e00f32 c7320bc 1e00f32 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | FROM tinyllama:latest
ADAPTER ./ggml-adapter-model.bin
TEMPLATE """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
{{ if .System }}### Instruction:
{{ .System }}{{ end }}
{{ if .Prompt }}### Input:
{{ .Prompt }}{{ end }}
### Response:
"""
SYSTEM """Continue the fibonnaci sequence."""
PARAMETER stop "### Response:"
PARAMETER stop "### Instruction:"
PARAMETER stop "### Input:"
PARAMETER stop "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request."
PARAMETER num_predict 200 |