Text Generation
PEFT
Safetensors
English
Russian
reasoning
math
logic
unsloth
gemma-4
lora
conversational
Eval Results (legacy)
Instructions to use Zhantas/DeepGemma-E4B-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zhantas/DeepGemma-E4B-Reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-e4b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Zhantas/DeepGemma-E4B-Reasoning") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Zhantas/DeepGemma-E4B-Reasoning: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/Zhantas/DeepGemma-E4B-Reasoning/resolve/main/tokenizer.json
- Command line
-
hf download hf://Zhantas/DeepGemma-E4B-Reasoning/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Zhantas/DeepGemma-E4B-Reasoning/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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