Instructions to use Reponx/Network-Cloud-Ops-Engineer-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Reponx/Network-Cloud-Ops-Engineer-9B with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B")
model = PeftModel.from_pretrained(base_model, "Reponx/Network-Cloud-Ops-Engineer-9B")

Transformers

How to use Reponx/Network-Cloud-Ops-Engineer-9B with Transformers:

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

pipe = pipeline("text-generation", model="Reponx/Network-Cloud-Ops-Engineer-9B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Reponx/Network-Cloud-Ops-Engineer-9B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Reponx/Network-Cloud-Ops-Engineer-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Reponx/Network-Cloud-Ops-Engineer-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": "Reponx/Network-Cloud-Ops-Engineer-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Reponx/Network-Cloud-Ops-Engineer-9B

SGLang

How to use Reponx/Network-Cloud-Ops-Engineer-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 "Reponx/Network-Cloud-Ops-Engineer-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": "Reponx/Network-Cloud-Ops-Engineer-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 "Reponx/Network-Cloud-Ops-Engineer-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": "Reponx/Network-Cloud-Ops-Engineer-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Reponx/Network-Cloud-Ops-Engineer-9B with Docker Model Runner:
```
docker model run hf.co/Reponx/Network-Cloud-Ops-Engineer-9B
```

dharikh commited on 24 days ago

Commit

b4000eb

verified ·

1 Parent(s): a3c09bf

Update README.md

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@@ -3,11 +3,6 @@ base_model: Qwen/Qwen3.5-9B
 library_name: peft
 model_name: Reponx-Network-Cloud-Ops-Engineer-9B
 tags:
-- base_model:adapter:Qwen/Qwen3.5-9B
-- lora
-- sft
-- transformers
-- trl
 - network-engineering
 - network-operations
 - cloud-operations
@@ -22,6 +17,11 @@ tags:
 - gcp
 - bgp
 - ospf
 pipeline_tag: text-generation
 license: apache-2.0
 language:

 library_name: peft
 model_name: Reponx-Network-Cloud-Ops-Engineer-9B
 tags:
 - network-engineering
 - network-operations
 - cloud-operations
 - gcp
 - bgp
 - ospf
+- base_model:adapter:Qwen/Qwen3.5-9B
+- lora
+- sft
+- transformers
+- trl
 pipeline_tag: text-generation
 license: apache-2.0
 language: