Image-Text-to-Text
Transformers
Safetensors
English
qwen3_5_text
text-generation
esper
esper-3.1
esper-3
valiant
valiant-labs
qwen
qwen-3.5
qwen-3.5-27b
27b
reasoning
code
code-instruct
python
javascript
dev-ops
jenkins
terraform
ansible
docker
kubernetes
helm
grafana
prometheus
shell
bash
azure
aws
gcp
cloud
scripting
powershell
problem-solving
architect
engineer
developer
creative
analytical
expert
rationality
conversational
chat
instruct
Instructions to use ValiantLabs/Qwen3.5-27B-Esper3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ValiantLabs/Qwen3.5-27B-Esper3.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ValiantLabs/Qwen3.5-27B-Esper3.1") 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 AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ValiantLabs/Qwen3.5-27B-Esper3.1") model = AutoModelForCausalLM.from_pretrained("ValiantLabs/Qwen3.5-27B-Esper3.1") 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 = 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ValiantLabs/Qwen3.5-27B-Esper3.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ValiantLabs/Qwen3.5-27B-Esper3.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ValiantLabs/Qwen3.5-27B-Esper3.1", "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/ValiantLabs/Qwen3.5-27B-Esper3.1
- SGLang
How to use ValiantLabs/Qwen3.5-27B-Esper3.1 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 "ValiantLabs/Qwen3.5-27B-Esper3.1" \ --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": "ValiantLabs/Qwen3.5-27B-Esper3.1", "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 "ValiantLabs/Qwen3.5-27B-Esper3.1" \ --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": "ValiantLabs/Qwen3.5-27B-Esper3.1", "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 ValiantLabs/Qwen3.5-27B-Esper3.1 with Docker Model Runner:
docker model run hf.co/ValiantLabs/Qwen3.5-27B-Esper3.1
Upload folder using huggingface_hub
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