Instructions to use Convence/Aroow-Rust-Coder-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Convence/Aroow-Rust-Coder-9B with Transformers:

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

pipe = pipeline("text-generation", model="Convence/Aroow-Rust-Coder-9B")
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("Convence/Aroow-Rust-Coder-9B")
model = AutoModelForImageTextToText.from_pretrained("Convence/Aroow-Rust-Coder-9B")
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

vLLM

How to use Convence/Aroow-Rust-Coder-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Convence/Aroow-Rust-Coder-9B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Convence/Aroow-Rust-Coder-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Convence/Aroow-Rust-Coder-9B

SGLang

How to use Convence/Aroow-Rust-Coder-9B 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 "Convence/Aroow-Rust-Coder-9B" \
    --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": "Convence/Aroow-Rust-Coder-9B",
		"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 "Convence/Aroow-Rust-Coder-9B" \
        --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": "Convence/Aroow-Rust-Coder-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Convence/Aroow-Rust-Coder-9B with Docker Model Runner:
```
docker model run hf.co/Convence/Aroow-Rust-Coder-9B
```

Ill-Ness commited on 1 day ago

Commit

ebcc82d

verified ·

1 Parent(s): ccdfc65

Update README.md

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README.md +2 -7

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-library_name: peft
 license: apache-2.0
 license_link: https://www.apache.org/licenses/LICENSE-2.0
 pipeline_tag: text-generation
@@ -13,11 +13,6 @@ tags:
 - code-generation
 - code-completion
 - fill-in-the-middle
-- qwen
-- qwen3.5
-- lora
-- bf16
-- convence
 ---
 <div align="center">
@@ -275,4 +270,4 @@ Generated code should be reviewed before use. Pay special attention to:
   year={2026},
   url={https://huggingface.co/Convence/Aroow-Rust-Coder-9B}
 }
-```

 ---
+library_name: transformers
 license: apache-2.0
 license_link: https://www.apache.org/licenses/LICENSE-2.0
 pipeline_tag: text-generation
 - code-generation
 - code-completion
 - fill-in-the-middle
 ---
 <div align="center">
   year={2026},
   url={https://huggingface.co/Convence/Aroow-Rust-Coder-9B}
 }
+```