Instructions to use veriloop-lab/veriloop-coder-e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use veriloop-lab/veriloop-coder-e1 with Transformers:

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

pipe = pipeline("text-generation", model="veriloop-lab/veriloop-coder-e1")
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("veriloop-lab/veriloop-coder-e1")
model = AutoModelForImageTextToText.from_pretrained("veriloop-lab/veriloop-coder-e1")
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]:]))

PEFT
How to use veriloop-lab/veriloop-coder-e1 with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use veriloop-lab/veriloop-coder-e1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "veriloop-lab/veriloop-coder-e1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "veriloop-lab/veriloop-coder-e1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/veriloop-lab/veriloop-coder-e1

SGLang

How to use veriloop-lab/veriloop-coder-e1 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 "veriloop-lab/veriloop-coder-e1" \
    --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": "veriloop-lab/veriloop-coder-e1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "veriloop-lab/veriloop-coder-e1" \
        --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": "veriloop-lab/veriloop-coder-e1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use veriloop-lab/veriloop-coder-e1 with Docker Model Runner:
```
docker model run hf.co/veriloop-lab/veriloop-coder-e1
```

ConorWang commited on 17 days ago

Commit

46ec2c3

verified ·

1 Parent(s): 540197c

Clean public release: keep standard safetensors adapters only

Browse files

Files changed (6) hide show

configuration.json +0 -1
evidence_adapter/evidence_binding_head.pt +0 -3
publish_veriloop_coder_e1.ps1 +0 -17
rollback_adapter/rollback_head.pt +0 -3
toolspec_adapter/toolspec_probe_head.pt +0 -3
uncertainty_adapter/uncertainty_head.pt +0 -3

configuration.json DELETED Viewed

	@@ -1 +0,0 @@
1	- {"framework":"Pytorch","task":"image-text-to-text"}

evidence_adapter/evidence_binding_head.pt DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a03e13d80497f59e05164c249ba8e73996934635c22b5e2036927761067cc606
-size 38282667

publish_veriloop_coder_e1.ps1 DELETED Viewed

@@ -1,17 +0,0 @@
-$ErrorActionPreference = "Stop"
-$repoRoot = Split-Path -Parent $MyInvocation.MyCommand.Path
-$pythonScript = Join-Path $repoRoot "stage_and_publish_veriloop_coder_e1.py"
-if (-not $env:HF_TOKEN -and -not $env:HUGGING_FACE_HUB_TOKEN) {
-    throw "HF_TOKEN or HUGGING_FACE_HUB_TOKEN is not set."
-}
-python -m pip install -U huggingface_hub
-python $pythonScript `
-  --source-repo "Qwen/Qwen3-Coder-Next" `
-  --target-repo "veriloop-lab/veriLoop-coder-e1" `
-  --display-name "VeriLoop-Coder-E1" `
-  --stage-dir "D:\hf_stage\veriloop_coder_e1" `
-  --revision "main"

rollback_adapter/rollback_head.pt DELETED Viewed

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