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defog
/
sqlcoder-70b-alpha

Text Generation
Transformers
Safetensors
llama
text-generation-inference
Model card Files Files and versions
xet
Community
19

Instructions to use defog/sqlcoder-70b-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use defog/sqlcoder-70b-alpha with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="defog/sqlcoder-70b-alpha")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("defog/sqlcoder-70b-alpha")
    model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-70b-alpha")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use defog/sqlcoder-70b-alpha with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "defog/sqlcoder-70b-alpha"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "defog/sqlcoder-70b-alpha",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/defog/sqlcoder-70b-alpha
  • SGLang

    How to use defog/sqlcoder-70b-alpha 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 "defog/sqlcoder-70b-alpha" \
        --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": "defog/sqlcoder-70b-alpha",
    		"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 "defog/sqlcoder-70b-alpha" \
            --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": "defog/sqlcoder-70b-alpha",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use defog/sqlcoder-70b-alpha with Docker Model Runner:

    docker model run hf.co/defog/sqlcoder-70b-alpha
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

evaluation benchmark against gpt4o, gpt4o-mini, o1-preview, oi-mini

1
#18 opened over 1 year ago by
gweiz

any chance to provide a demo to try out the model?

1
#15 opened almost 2 years ago by
chuangzhidian

Sqlcoder-70b automatically translates Chinese fields into English in the answer

1
#14 opened about 2 years ago by
alfreyqa

torch.cuda.OutOfMemoryError: CUDA out of memory

1
#13 opened about 2 years ago by
Ajith2291

snowflake connector issues

1
#11 opened about 2 years ago by
raghusri

Requested tokens (13223) exceed context window of 4096

1
#10 opened about 2 years ago by
raghusri

About Supervised fine tuning

4
#9 opened about 2 years ago by
aniketjha1304

can you share finetune scripts and datasets

2
#8 opened over 2 years ago by
TomPei

SQLite compatibility

1
#7 opened over 2 years ago by
khuswanto

Not able to run the with 4bit quantization on RTX4090 (24GB vRAM) local GPU

1
#6 opened over 2 years ago by
miteshgarg
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