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
Download generation_config.json from rrchat/Cerberus-E4B: direct link, hf CLI and curl.
- Browser
- Download file 203 Bytes
-
https://huggingface.co/rrchat/Cerberus-E4B/resolve/main/generation_config.json
- Command line
-
hf download hf://rrchat/Cerberus-E4B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/rrchat/Cerberus-E4B/resolve/main/generation_config.json
203 Bytes
| { | |
| "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" | |
| } | |