Transformers
Safetensors
GGUF
English
llama
text-generation-inference
unsloth
trl
sft
8-bit precision
Instructions to use ipranavks/llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipranavks/llama3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ipranavks/llama3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
|
Download README.md from ipranavks/llama3: direct link, hf CLI and curl.
- Browser
- Download file 620 Bytes
-
https://huggingface.co/ipranavks/llama3/resolve/main/README.md
- Command line
-
hf download hf://ipranavks/llama3/README.md
-
curl -L -o README.md https://huggingface.co/ipranavks/llama3/resolve/main/README.md
620 Bytes
metadata
base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
license: apache-2.0
language:
- en
Uploaded model
- Developed by: ipranavks
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
