Instructions to use tensorblock/sqlcoder-34b-alpha-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/sqlcoder-34b-alpha-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tensorblock/sqlcoder-34b-alpha-GGUF",
	filename="sqlcoder-34b-alpha-Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use tensorblock/sqlcoder-34b-alpha-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

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 tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

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 tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

LM Studio
Jan

vLLM

How to use tensorblock/sqlcoder-34b-alpha-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tensorblock/sqlcoder-34b-alpha-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tensorblock/sqlcoder-34b-alpha-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

Ollama
How to use tensorblock/sqlcoder-34b-alpha-GGUF with Ollama:
```
ollama run hf.co/tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K
```

Unsloth Studio new

How to use tensorblock/sqlcoder-34b-alpha-GGUF 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 tensorblock/sqlcoder-34b-alpha-GGUF 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 tensorblock/sqlcoder-34b-alpha-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/sqlcoder-34b-alpha-GGUF to start chatting

Docker Model Runner
How to use tensorblock/sqlcoder-34b-alpha-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K
```

Lemonade

How to use tensorblock/sqlcoder-34b-alpha-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/sqlcoder-34b-alpha-GGUF:Q2_K

Run and chat with the model

lemonade run user.sqlcoder-34b-alpha-GGUF-Q2_K

List all available models

lemonade list

morriszms commited on Jun 19, 2025

Commit

8acd40f

verified ·

1 Parent(s): 27fde11

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@@ -12,13 +12,13 @@ base_model: defog/sqlcoder-34b-alpha
 <div style="width: auto; margin-left: auto; margin-right: auto">
 <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
 </div>
-<div style="display: flex; justify-content: space-between; width: 100%;">
-    <div style="display: flex; flex-direction: column; align-items: flex-start;">
-        <p style="margin-top: 0.5em; margin-bottom: 0em;">
-            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
-        </p>
-    </div>
-</div>
 ## defog/sqlcoder-34b-alpha - GGUF

 <div style="width: auto; margin-left: auto; margin-right: auto">
 <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
 </div>
+[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
+[![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi)
+[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2)
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 ## defog/sqlcoder-34b-alpha - GGUF