Instructions to use GenSearcher/Gen-Searcher-SFT-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GenSearcher/Gen-Searcher-SFT-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="GenSearcher/Gen-Searcher-SFT-8B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("GenSearcher/Gen-Searcher-SFT-8B") model = AutoModelForImageTextToText.from_pretrained("GenSearcher/Gen-Searcher-SFT-8B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use GenSearcher/Gen-Searcher-SFT-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GenSearcher/Gen-Searcher-SFT-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GenSearcher/Gen-Searcher-SFT-8B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/GenSearcher/Gen-Searcher-SFT-8B
- SGLang
How to use GenSearcher/Gen-Searcher-SFT-8B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "GenSearcher/Gen-Searcher-SFT-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GenSearcher/Gen-Searcher-SFT-8B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "GenSearcher/Gen-Searcher-SFT-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GenSearcher/Gen-Searcher-SFT-8B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use GenSearcher/Gen-Searcher-SFT-8B with Docker Model Runner:
docker model run hf.co/GenSearcher/Gen-Searcher-SFT-8B
需要量化Q4,Q6K,Q8.等GGUF文件。
#2
by junguang - opened
这是1个带有上网查询功能能画图的LLM模型吗?能否在LM STUDIO或者KOBLDCPP 这类CHATUI 里面直接运行?(它直接包含生成图片功能?)是否能在COMFYUI里面运行?
或者否调用外部模型例如ZIMAGE TUEBO 生成图片?
谢谢回答
Hi,这是一个基于Qwen3-VL-8B的 VLM模型,并不直接具有生成图片的功能,而是上网deep research收集有利于生图的资料,最后整合成输入生图模型之前的prompt 和 参考图。
需要调用外部的生成模型例如 Qwen-Image-Edit, Nano banana Pro
感谢回答
junguang changed discussion status to closed