Instructions to use TianHuiLab/Falcon-Single-Instruction-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TianHuiLab/Falcon-Single-Instruction-Large with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="TianHuiLab/Falcon-Single-Instruction-Large")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TianHuiLab/Falcon-Single-Instruction-Large", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TianHuiLab/Falcon-Single-Instruction-Large with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TianHuiLab/Falcon-Single-Instruction-Large"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TianHuiLab/Falcon-Single-Instruction-Large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TianHuiLab/Falcon-Single-Instruction-Large

SGLang

How to use TianHuiLab/Falcon-Single-Instruction-Large 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 "TianHuiLab/Falcon-Single-Instruction-Large" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TianHuiLab/Falcon-Single-Instruction-Large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "TianHuiLab/Falcon-Single-Instruction-Large" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TianHuiLab/Falcon-Single-Instruction-Large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TianHuiLab/Falcon-Single-Instruction-Large with Docker Model Runner:
```
docker model run hf.co/TianHuiLab/Falcon-Single-Instruction-Large
```

Files are mistakenly uploaded inside a subfolder, so the model cannot be used using HF Automodel

by llu025 - opened Jul 30, 2025

Discussion

llu025

Jul 30, 2025

HuggingFace fails to find the files for this model when using any of the suggested approaches (also the ones provided on GitHub, for example for inference). It says it cannot find the "config.json" file.

I found the issue being that all the files are not in the "main" folder, meaning that they are not in "TianHuiLab/Falcon-Single-Instruction-Large", but instead they are in "TianHuiLab/Falcon-Single-Instruction-Large/Falcon-Single-Instruction-Large". I tried using "TianHuiLab/Falcon-Single-Instruction-Large/Falcon-Single-Instruction-Large"in the HF API but of course it does not work.

I did a final test by downloading all the files and uploading them to a private repository I created myself. Once I used my own, everything worked. This suggests that a very easy fix would be to simply rearrange the repository by moving all the files in the main folder :)

juanjuanjuanbing

Aug 20, 2025

HuggingFace fails to find the files for this model when using any of the suggested approaches (also the ones provided on GitHub, for example for inference). It says it cannot find the "config.json" file.

I found the issue being that all the files are not in the "main" folder, meaning that they are not in "TianHuiLab/Falcon-Single-Instruction-Large", but instead they are in "TianHuiLab/Falcon-Single-Instruction-Large/Falcon-Single-Instruction-Large". I tried using "TianHuiLab/Falcon-Single-Instruction-Large/Falcon-Single-Instruction-Large"in the HF API but of course it does not work.

I did a final test by downloading all the files and uploading them to a private repository I created myself. Once I used my own, everything worked. This suggests that a very easy fix would be to simply rearrange the repository by moving all the files in the main folder :)

Same issue，It works for me！Besides，vllm 0.8.2 seems support falcon no more， so I need to use transformer to deploy Falcon

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