Instructions to use Maarij-Aqeel/CLI_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Maarij-Aqeel/CLI_model with Transformers:

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

pipe = pipeline("text-generation", model="Maarij-Aqeel/CLI_model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Maarij-Aqeel/CLI_model", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Maarij-Aqeel/CLI_model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Maarij-Aqeel/CLI_model

SGLang

How to use Maarij-Aqeel/CLI_model 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 "Maarij-Aqeel/CLI_model" \
    --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": "Maarij-Aqeel/CLI_model",
		"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 "Maarij-Aqeel/CLI_model" \
        --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": "Maarij-Aqeel/CLI_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Maarij-Aqeel/CLI_model with Docker Model Runner:
```
docker model run hf.co/Maarij-Aqeel/CLI_model
```

Maarij-Aqeel commited on Jul 3, 2025

Commit

5da83f8

verified ·

1 Parent(s): 72f7e40

Update README.md

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README.md +27 -4

README.md CHANGED Viewed

@@ -1,16 +1,39 @@
-# cli-model-deepseek-v2-lite-finetuned
 A fine-tuned version of **[DeepSeek-Coder-V2-Lite-Base](https://huggingface.co/deepseek-ai/deepseek-coder-2)** specialized in generating and understanding **command-line interface (CLI)** tools, **automation scripts**, and **terminal-based workflows**.
 ---
-## Model Details
 | Field              | Value                                 |
 |-------------------|----------------------------------------|
 | **Base Model**     | DeepSeek-Coder-V2-Lite-Base            |
 | **Fine-tuned on**  | Custom CLI-focused code dataset        |
-| **Objective**      | code generation from natural language|
 | **Domain**         | CLI tools, Bash scripts, Python CLI apps |
 | **Framework**      | HuggingFace Transformers (PyTorch)     |
 | **Finetuning Method** | LoRA (Low-Rank Adaptation)         |
@@ -42,4 +65,4 @@ This model is designed for developers who:
 - Build terminal wrappers around REST APIs
 - Create documentation and examples for terminal apps
----

+---
+tags:
+  - code
+  - code-generation
+  - cli
+  - bash
+  - python
+  - terminal
+  - automation
+  - transformers
+  - lora
+  - fine-tuned
+language:
+  - en
+license: mit
+datasets:
+  - custom
+base_model: deepseek-ai/deepseek-coder-v2-lite-base
+model_type: causal-lm
+library_name: transformers
+pipeline_tag: text-generation
+---
+# 🛠️ cli-model-deepseek-v2-lite-finetuned
 A fine-tuned version of **[DeepSeek-Coder-V2-Lite-Base](https://huggingface.co/deepseek-ai/deepseek-coder-2)** specialized in generating and understanding **command-line interface (CLI)** tools, **automation scripts**, and **terminal-based workflows**.
 ---
+## 🧠 Model Details
 | Field              | Value                                 |
 |-------------------|----------------------------------------|
 | **Base Model**     | DeepSeek-Coder-V2-Lite-Base            |
 | **Fine-tuned on**  | Custom CLI-focused code dataset        |
+| **Objective**      | Next-token prediction / code generation |
 | **Domain**         | CLI tools, Bash scripts, Python CLI apps |
 | **Framework**      | HuggingFace Transformers (PyTorch)     |
 | **Finetuning Method** | LoRA (Low-Rank Adaptation)         |
 - Build terminal wrappers around REST APIs
 - Create documentation and examples for terminal apps
+---