Instructions to use kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder with Transformers:

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

pipe = pipeline("text-generation", model="kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder")
model = AutoModelForCausalLM.from_pretrained("kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder

SGLang

How to use kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder 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 "kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder with Docker Model Runner:
```
docker model run hf.co/kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder
```

Model Card for Model ID

Model Details

Finetune of deepseek-ai/DeepSeek-R1-0528-Qwen3-8B; trained on dataset of domain-specific text-to-SQL queries.

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Developed by: Kristian Nordby
Funded by: AI2C
Model type: Qwen3; CausalLM
Language(s) (NLP): English
Finetuned from model: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Trainable layers: lm_head, q_proj of first SelfAttention layer

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Safetensors

Model size

8B params

Tensor type

F32

Model tree for kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder

Base model

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

Finetuned

(46)

this model

Dataset used to train kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder

Paper for kristiannordby/DeepSeek-R1-0528-DSR-SQLCoder

Quantifying the Carbon Emissions of Machine Learning

Paper • 1910.09700 • Published Oct 21, 2019 • 45