Text Generation
PEFT
Safetensors
Russian
English
gemma4
lora
reasoning
math
agent
tool-use
function-calling
multimodal
russian
unsloth
conversational
4-bit precision
bitsandbytes
Instructions to use rrchat/Cerberus-E4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rrchat/Cerberus-E4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "rrchat/Cerberus-E4B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 203 Bytes
8667211 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 2,
"do_sample": true,
"eos_token_id": [
1,
106,
50
],
"pad_token_id": 0,
"temperature": 1.0,
"top_k": 64,
"top_p": 0.95,
"transformers_version": "5.5.0"
}
|