Instructions to use pavankumarbalijepalli/phi2-sqlcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pavankumarbalijepalli/phi2-sqlcoder with Transformers:

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

pipe = pipeline("text-generation", model="pavankumarbalijepalli/phi2-sqlcoder", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pavankumarbalijepalli/phi2-sqlcoder", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("pavankumarbalijepalli/phi2-sqlcoder", trust_remote_code=True)

PEFT
How to use pavankumarbalijepalli/phi2-sqlcoder with PEFT:
```
Task type is invalid.
```

llama-cpp-python

How to use pavankumarbalijepalli/phi2-sqlcoder with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="pavankumarbalijepalli/phi2-sqlcoder",
	filename="phi2_sqlcoder_f16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Inference
Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use pavankumarbalijepalli/phi2-sqlcoder with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf pavankumarbalijepalli/phi2-sqlcoder:F16
# Run inference directly in the terminal:
llama-cli -hf pavankumarbalijepalli/phi2-sqlcoder:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf pavankumarbalijepalli/phi2-sqlcoder:F16
# Run inference directly in the terminal:
llama-cli -hf pavankumarbalijepalli/phi2-sqlcoder:F16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf pavankumarbalijepalli/phi2-sqlcoder:F16
# Run inference directly in the terminal:
./llama-cli -hf pavankumarbalijepalli/phi2-sqlcoder:F16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf pavankumarbalijepalli/phi2-sqlcoder:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf pavankumarbalijepalli/phi2-sqlcoder:F16

Use Docker

docker model run hf.co/pavankumarbalijepalli/phi2-sqlcoder:F16

LM Studio
Jan

vLLM

How to use pavankumarbalijepalli/phi2-sqlcoder with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pavankumarbalijepalli/phi2-sqlcoder"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pavankumarbalijepalli/phi2-sqlcoder",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pavankumarbalijepalli/phi2-sqlcoder:F16

SGLang

How to use pavankumarbalijepalli/phi2-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 "pavankumarbalijepalli/phi2-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": "pavankumarbalijepalli/phi2-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 "pavankumarbalijepalli/phi2-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": "pavankumarbalijepalli/phi2-sqlcoder",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use pavankumarbalijepalli/phi2-sqlcoder with Ollama:
```
ollama run hf.co/pavankumarbalijepalli/phi2-sqlcoder:F16
```

Unsloth Studio new

How to use pavankumarbalijepalli/phi2-sqlcoder with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for pavankumarbalijepalli/phi2-sqlcoder to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for pavankumarbalijepalli/phi2-sqlcoder to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for pavankumarbalijepalli/phi2-sqlcoder to start chatting

Docker Model Runner
How to use pavankumarbalijepalli/phi2-sqlcoder with Docker Model Runner:
```
docker model run hf.co/pavankumarbalijepalli/phi2-sqlcoder:F16
```

Lemonade

How to use pavankumarbalijepalli/phi2-sqlcoder with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull pavankumarbalijepalli/phi2-sqlcoder:F16

Run and chat with the model

lemonade run user.phi2-sqlcoder-F16

List all available models

lemonade list

pavankumarbalijepalli commited on Mar 14, 2024

Commit

9153c89

verified ·

1 Parent(s): 0465503

Update README.md

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README.md +11 -74

README.md CHANGED Viewed

@@ -146,13 +146,7 @@ While the model can automate some SQL query generation tasks, it shouldn't be a
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
 ## Training Details
@@ -171,25 +165,6 @@ Use the code below to get started with the model.
 }
 ```
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
 ## Evaluation
 <!-- This section describes the evaluation protocols and provides the results. -->
@@ -221,13 +196,6 @@ Use the code below to get started with the model.
 #### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
 ## Environmental Impact
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
@@ -240,50 +208,19 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 - **Compute Region:** [More Information Needed]
 - **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
 ## Citation [optional]
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 **BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
 ## Training Details
 }
 ```
 ## Evaluation
 <!-- This section describes the evaluation protocols and provides the results. -->
 #### Summary
 ## Environmental Impact
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
 - **Compute Region:** [More Information Needed]
 - **Carbon Emitted:** [More Information Needed]
 ## Citation [optional]
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 **BibTeX:**
+```
+@misc {pavan_kumar_balijepalli_2024,
+	author       = { {Pavan Kumar Balijepalli} },
+	title        = { phi2-sqlcoder (Revision 2391b6b) },
+	year         = 2024,
+	url          = { https://huggingface.co/pavankumarbalijepalli/phi2-sqlcoder },
+	doi          = { 10.57967/hf/1884 },
+	publisher    = { Hugging Face }
+}
+```