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
Can't host with vLLM - "LlamaModel" architecture is not supported.
This model was fine tuned on codellama/CodeLlama-70b-hf, which has this as the architecture in it's config.json:
"LlamaForCausalLM"
The config.json for this model has this as the architecture:
"LlamaModel"
This causes an error when hosting with vLLM, as it only supports LlamaForCausalLM. I tried changing the config.json for sqlcoder-70b-alpha to indicate "LlamaForCausalLM", but this gave a KeyError:
KeyError: 'layers.11.input_layernorm.weight'
Is this a bug, or is this intentionally a different architecture? If it's not a bug, it seems vLLM cannot host this model, even though it supports LlamaForCausalLM from CodeLlama. Is there a recommended way, through something like vLLM or TGI...etc, to host this model?
Hi there, we discovered a bizzare bug where the model's lm_head.weight was not uploaded to HF in the upload process. This is causing many integrations to break, and the model uploaded here is producing gibberish results.
Fix coming soon – hopefully in the next hour
Fixed with a reupload of the model weights! Apologies for the issue. You'll unfortunately have to re-download the model weights first (run rm ~/.cache/huggingface/hub/models--defog--sqlcoder-70b-alpha). Should work great after that