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:
# pip install -U transformers accelerate # 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 Desktop
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 |