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mberkanbicer/DeepInnovator-GGUF
DeepInnovator-GGUF is a text generation model from mberkanbicer. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
This repository provides GGUF quantized variants of T1anyu/DeepInnovator. The original Hugging Face model was converted to GGUF and quantized using llama.cpp.
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From the Hugging Face model README
This repository provides GGUF quantized variants of T1anyu/DeepInnovator.
The original Hugging Face model was converted to GGUF and quantized using llama.cpp.
T1anyu/DeepInnovatorDeepInnovator is a large language model designed for generating novel research ideas. According to the original model card, it is trained to produce innovative and significant research ideas, with a training methodology centered on structured scientific knowledge extraction and iterative “Next Idea Prediction.” It is published as a 15B-parameter model under the Apache-2.0 license. :contentReference[oaicite:0]{index=0}
DeepInnovator-Q2_K.ggufDeepInnovator-Q3_K_S.ggufDeepInnovator-Q3_K_M.ggufDeepInnovator-Q3_K_L.ggufDeepInnovator-Q4_K.ggufDeepInnovator-Q4_K.ggufDeepInnovator-Q4_K_S.ggufDeepInnovator-Q6_K.gguf./llama-cli -m ./DeepInnovator-Q4_K_M.gguf -c 1024 -ngl 20
Create a Modelfile:
FROM ./DeepInnovator-Q4_K_M.gguf
PARAMETER num_ctx 1024
PARAMETER temperature 0.7
Then run:
ollama create deepinnovator-q4 -f Modelfile
ollama run deepinnovator-q4
For the original non-GGUF model:
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "T1anyu/DeepInnovator"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype="auto",
device_map="auto",
)
The original model card also provides example prompts and a vLLM usage example. (Hugging Face)
These files are quantized GGUF derivatives of the original model. Please refer to the upstream repository for the official model card, usage details, paper, and future updates. The upstream page lists the model as a Qwen2.5-14B-family fine-tuned model and links the paper DeepInnovator: Triggering the Innovative Capabilities of LLMs (arXiv:2602.18920). (Hugging Face)
https://huggingface.co/T1anyu/DeepInnovatorhttps://github.com/HKUDS/DeepInnovatorIf you use this model, please cite the original work:
@article{fan2026deepinnovator,
title={DeepInnovator: Triggering the Innovative Capabilities of LLMs},
author={Fan, Tianyu and Zhang, Fengji and Zheng, Yuxiang and Chen, Bei and Niu, Xinyao and Huang, Chengen and Lin, Junyang and Huang, Chao},
journal={arXiv preprint arXiv:2602.18920},
year={2026}
}