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

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
```

Update README.md

by weiranyao - opened Oct 3, 2025

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+32

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Files changed (1) hide show

README.md +32 -4

README.md CHANGED Viewed

@@ -8,12 +8,40 @@ tags:
 - language model
 - code generation
 ---
-# CoDA: Coding LM via Diffusion Adaptation
-**CoDA-1.7B** is a lightweight diffusion language model for code generation developed by Salesforce AI Research. Unlike traditional autoregressive models, CoDA leverages discrete diffusion processes to enable bidirectional context understanding and efficient code completion.
-- 📄 [Technical Report](https://github.com/SalesforceAIResearch/CoDA/blob/main/technical_report.pdf)
-- 💻 [Code Repository](https://github.com/SalesforceAIResearch/CoDA/)
 ## 📊 Model Details

 - language model
 - code generation
 ---
+<p align="center">
+  <img alt="coda-logo" src="https://raw.githubusercontent.com/weirayao/CoDA/main/CoDA-logo.png">
+</p>
+<p align="center">
+  <a href="https://github.com/SalesforceAIResearch/CoDA"><strong>Try CoDA</strong></a> ·
+  <a href="https://github.com/SalesforceAIResearch/CoDA/blob/main/technical_report.pdf"><strong>Technical Report</strong></a> ·
+  <a href="https://huggingface.co/collections/Salesforce/coda-68d627d87921c0e28a69e340"><strong>Model Collection</strong></a> ·
+  <a href="https://github.com/SalesforceAIResearch/CoDA/blob/main/README.md"><strong>GitHub Repository</strong></a>
+</p>
+<br>
+Welcome to CoDA, Salesforce AI Research's diffusion-based language model designed for powerful code generation and bidirectional context understanding.
+We're releasing CoDA as a lightweight yet capable model:
+- `CoDA-1.7B-Instruct` — optimized for code generation tasks with bidirectional diffusion modeling (1.7B parameters)
+- `CoDA-1.7B-Base` — diffusion foundation model with bidirectional diffusion architecture, ideal for further fine-tuning and RL training
+CoDA leverages discrete diffusion processes to enable understanding of both past and future tokens, making it uniquely suited for code completion and generation tasks where context flows in both directions.
+> [!NOTE]
+> This model card is dedicated to the `CoDA-1.7B-Instruct` model. Check out our [model collection](https://huggingface.co/collections/Salesforce/coda-68d627d87921c0e28a69e340) for other variants.
+# ⭐️ Highlights
+* **Bidirectional Context Understanding:** Leverage discrete diffusion processes to understand both past and future tokens, enabling superior code completion.
+* **Confidence-Guided Sampling:** Maintain competitive inference latency through intelligent sampling strategies that balance quality and speed.
+* **Lightweight Architecture:** Achieve strong performance with only 1.7B parameters, making it accessible for researchers with limited computational resources.
+* **Full Training Pipeline:** Complete reproducible training pipeline from pre-training to fine-tuning, enabling customization for specific domains.
+* **Optimized for Code:** Specifically designed and trained for code generation tasks, with strong performance on HumanEval, MBPP, and other coding benchmarks.
+---
 ## 📊 Model Details