Instructions to use cyankiwi/Jan-code-4b-AWQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cyankiwi/Jan-code-4b-AWQ-4bit with Transformers:

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

pipe = pipeline("text-generation", model="cyankiwi/Jan-code-4b-AWQ-4bit")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cyankiwi/Jan-code-4b-AWQ-4bit")
model = AutoModelForCausalLM.from_pretrained("cyankiwi/Jan-code-4b-AWQ-4bit", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cyankiwi/Jan-code-4b-AWQ-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cyankiwi/Jan-code-4b-AWQ-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cyankiwi/Jan-code-4b-AWQ-4bit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cyankiwi/Jan-code-4b-AWQ-4bit

SGLang

How to use cyankiwi/Jan-code-4b-AWQ-4bit 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 "cyankiwi/Jan-code-4b-AWQ-4bit" \
    --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": "cyankiwi/Jan-code-4b-AWQ-4bit",
		"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 "cyankiwi/Jan-code-4b-AWQ-4bit" \
        --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": "cyankiwi/Jan-code-4b-AWQ-4bit",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cyankiwi/Jan-code-4b-AWQ-4bit with Docker Model Runner:
```
docker model run hf.co/cyankiwi/Jan-code-4b-AWQ-4bit
```

cpatonn commited on 15 days ago

Commit

b68f022

verified ·

1 Parent(s): a4751ee

Regenerate model card with update_model_card.py (cyankiwi header, GCS banners)

Browse files

Files changed (1) hide show

README.md +59 -6

README.md CHANGED Viewed

@@ -1,21 +1,74 @@
 ---
-license: apache-2.0
 language:
 - en
-base_model:
-- janhq/Jan-code-4b
-pipeline_tag: text-generation
 library_name: transformers
 tags:
 - agent
 ---
 # Jan-Code-4B: a small code-tuned model
 [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/janhq/jan)
 [![License](https://img.shields.io/badge/License-Apache%202.0-yellow)](https://opensource.org/licenses/Apache-2.0)
 [![Jan App](https://img.shields.io/badge/Powered%20by-Jan%20App-purple?style=flat\&logo=android)](https://jan.ai/)
-![image](https://cdn-uploads.huggingface.co/production/uploads/657a81129ea9d52e5cbd67f7/U1kMFKtd-XU1ukh0Ff9Ru.png)
 ## Overview
@@ -74,4 +127,4 @@ top_k: 20
 ## 📄 Citation
 ```bibtex
 Updated Soon
-```

 ---
+base_model: janhq/Jan-code-4b
+base_model_relation: quantized
 language:
 - en
 library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
 tags:
 - agent
 ---
+<div align="left">
+  <a href="https://cyan.kiwi" target="_blank"><img src="https://storage.googleapis.com/cyankiwi-assets/model-card/model-card-banners-cyankiwi.png" width="800" alt="cyankiwi, the LLM inference agent for open models"></a>
+</div>
+<div align="left">
+  <table style="border-collapse:collapse; border:none;">
+    <tr style="border:none;">
+      <td align="left" style="border:none; padding:4px 24px 4px 0;"><b>Website</b></td>
+      <td align="left" style="border:none; padding:4px 0;"><a href="https://cyan.kiwi/" target="_blank">cyan.kiwi</a></td>
+    </tr>
+    <tr style="border:none;">
+      <td align="left" style="border:none; padding:4px 24px 4px 0;"><b>Models</b></td>
+      <td align="left" style="border:none; padding:4px 0;"><a href="https://huggingface.co/cyankiwi" target="_blank">Hugging Face</a> · <a href="https://www.modelscope.ai/organization/cyankiwi" target="_blank">ModelScope</a></td>
+    </tr>
+    <tr style="border:none;">
+      <td align="left" style="border:none; padding:4px 24px 4px 0;"><b>Connect</b></td>
+      <td align="left" style="border:none; padding:4px 0;"><a href="https://x.com/cyankiwi_ai" target="_blank">X</a> · <a href="https://www.reddit.com/r/cyankiwi/" target="_blank">Reddit</a> · <a href="mailto:ton@cyan.kiwi">Email</a></td>
+    </tr>
+  </table>
+</div>
+<br>
+<div align="left">
+  <img src="https://storage.googleapis.com/cyankiwi-assets/model-card/model-card-banners-awq.png" width="800" alt="cyankiwi Activation-aware Weight Quantization">
+</div>
+<div align="left">
+  <table style="border-collapse:collapse; border:none;">
+    <tr style="border:none;">
+      <td align="left" style="border:none; padding:4px 24px 4px 0;"><b>Version</b></td>
+      <td align="left" style="border:none; padding:4px 0;"><a href="https://github.com/vllm-project/llm-compressor" target="_blank">llm-compressor</a></td>
+    </tr>
+    <tr style="border:none;">
+      <td align="left" style="border:none; padding:4px 24px 4px 0;"><b>Calibration</b></td>
+      <td align="left" style="border:none; padding:4px 0;"><a href="https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset" target="_blank">nvidia/Llama-Nemotron-Post-Training-Dataset</a></td>
+    </tr>
+    <tr style="border:none;">
+      <td align="left" style="border:none; padding:4px 24px 4px 0;"><b>Model Size</b></td>
+      <td align="left" style="border:none; padding:4px 0;">2.82 GB</td>
+    </tr>
+  </table>
+</div>
+<br>
+<p align="left">
+  <a href="https://cyan.kiwi/workspace?prompt=Deploy%20cyankiwi/Jan-code-4b-AWQ-4bit" target="_blank"><img src="https://storage.googleapis.com/cyankiwi-assets/model-card/model-card-button-deploy.png" width="333" alt="Deploy on cyan.kiwi private endpoints"></a>
+</p>
+---
 # Jan-Code-4B: a small code-tuned model
 [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/janhq/jan)
 [![License](https://img.shields.io/badge/License-Apache%202.0-yellow)](https://opensource.org/licenses/Apache-2.0)
 [![Jan App](https://img.shields.io/badge/Powered%20by-Jan%20App-purple?style=flat\&logo=android)](https://jan.ai/)
+![image](https://cdn-uploads.huggingface.co/production/uploads/657a81129ea9d52e5cbd67f7/IYCV1tqAbz43ZK__-i52A.png)
 ## Overview
 ## 📄 Citation
 ```bibtex
 Updated Soon
+```