Instructions to use Salesforce/CoDA-v0-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Salesforce/CoDA-v0-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="Salesforce/CoDA-v0-Instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Salesforce/CoDA-v0-Instruct", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Salesforce/CoDA-v0-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Salesforce/CoDA-v0-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Salesforce/CoDA-v0-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Salesforce/CoDA-v0-Instruct

SGLang

How to use Salesforce/CoDA-v0-Instruct 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 "Salesforce/CoDA-v0-Instruct" \
    --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": "Salesforce/CoDA-v0-Instruct",
		"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 "Salesforce/CoDA-v0-Instruct" \
        --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": "Salesforce/CoDA-v0-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Salesforce/CoDA-v0-Instruct with Docker Model Runner:
```
docker model run hf.co/Salesforce/CoDA-v0-Instruct
```

hlnchen commited on Oct 3, 2025

Commit

2fd389f

verified ·

1 Parent(s): 6c86734

Update README.md

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README.md +6 -5

README.md CHANGED Viewed

@@ -10,24 +10,25 @@ tags:
 ---
 # CoDA-v0-Instruct
-## Overview
 CoDA is Salesforce AI Research's open diffusion language model.
 [Technical Report](https://github.com/SalesforceAIResearch/CoDA/blob/main/technical_report.pdf)
 [Code](https://github.com/SalesforceAIResearch/CoDA/)
 The code repo contains a unified training pipeline from pre-training to post-training, evaluation harnesses, and a simple Fast-API based serving backend.
-## Requirements
 ```
 torch==2.8.0
 transformers>=4.47.1
 flash-attn==2.8.3
 ```
-## Quickstart
 Here is a code snippet for loading the model, tokenizer and run generation.
 ```python
 import torch
@@ -83,10 +84,10 @@ Comparison of code-generation performance across standard and plus-enhanced benc
-## Deployment
 Checkout our [Deployment Guide](https://github.com/SalesforceAIResearch/CoDA?tab=readme-ov-file#deployment-guide-%EF%B8%8F)!
-## Citation
 ```
 coming soon
 ```

 ---
 # CoDA-v0-Instruct
+## Overview 🎯
 CoDA is Salesforce AI Research's open diffusion language model.
 [Technical Report](https://github.com/SalesforceAIResearch/CoDA/blob/main/technical_report.pdf)
 [Code](https://github.com/SalesforceAIResearch/CoDA/)
 The code repo contains a unified training pipeline from pre-training to post-training, evaluation harnesses, and a simple Fast-API based serving backend.
+## Requirements 📦
 ```
 torch==2.8.0
 transformers>=4.47.1
 flash-attn==2.8.3
 ```
+## Quickstart 🚀
 Here is a code snippet for loading the model, tokenizer and run generation.
 ```python
 import torch
+## Deployment 🛠️
 Checkout our [Deployment Guide](https://github.com/SalesforceAIResearch/CoDA?tab=readme-ov-file#deployment-guide-%EF%B8%8F)!
+## Citation 📚
 ```
 coming soon
 ```