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Hercules1-8B-E2B-it
EpistemeAI/Hercules1-8B-E2B-it
Hercules1-8B-E2B-it is a image-text-to-text model from EpistemeAI. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
- Developed by: EpistemeAI - License: apache-2.0 - Finetuned from model : unsloth/gemma-3n-e2b-it-unsloth-bnb-4bit
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- gemma3n
- Access
- Public
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025
- SHA
- 674a5121
Try a prompt
Base models
Model card
From the Hugging Face model README
This finetuned model is specialized in STEM like LCB, CodeForce, AIME24, AIME25, AMC23, MATH500
How to use this model:
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/Hercules1-8B-E2B-it")
model = AutoModelForCausalLM.from_pretrained("EpistemeAI/Hercules1-8B-E2B-it")
messages = [
{"role": "user", "content": "Write me a Python function to calculate the nth fibonacci number.<think></think>"},
]
inputs = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=True,
return_dict=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=1024)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
lm eval result:
| Tasks | Version | Filter | n-shot | Metric | Value | |
|---|---|---|---|---|---|---|
| gpqa_diamond_zeroshot | 1 | none | 0 | acc/acc_norm | ↑ | 0.3097 |
Uploaded finetuned model
- Developed by: EpistemeAI
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3n-e2b-it-unsloth-bnb-4bit
This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- gemma3n
- License
- apache-2.0
- Languages
- en
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025