Instructions to use mradermacher/SLM-SQL-Base-1.5B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/SLM-SQL-Base-1.5B-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

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 mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

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 mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with Ollama:
```
ollama run hf.co/mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/SLM-SQL-Base-1.5B-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 mradermacher/SLM-SQL-Base-1.5B-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 mradermacher/SLM-SQL-Base-1.5B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/SLM-SQL-Base-1.5B-GGUF to start chatting

How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.SLM-SQL-Base-1.5B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mradermacher/SLM-SQL-Base-1.5B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "mradermacher/SLM-SQL-Base-1.5B-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

mradermacher commited on Jul 31, 2025

Commit

9560156

verified ·

1 Parent(s): 870a0a0

uploaded from rich1

Browse files

Files changed (13) hide show

.gitattributes +12 -0
SLM-SQL-Base-1.5B.IQ4_XS.gguf +3 -0
SLM-SQL-Base-1.5B.Q2_K.gguf +3 -0
SLM-SQL-Base-1.5B.Q3_K_L.gguf +3 -0
SLM-SQL-Base-1.5B.Q3_K_M.gguf +3 -0
SLM-SQL-Base-1.5B.Q3_K_S.gguf +3 -0
SLM-SQL-Base-1.5B.Q4_K_M.gguf +3 -0
SLM-SQL-Base-1.5B.Q4_K_S.gguf +3 -0
SLM-SQL-Base-1.5B.Q5_K_M.gguf +3 -0
SLM-SQL-Base-1.5B.Q5_K_S.gguf +3 -0
SLM-SQL-Base-1.5B.Q6_K.gguf +3 -0
SLM-SQL-Base-1.5B.Q8_0.gguf +3 -0
SLM-SQL-Base-1.5B.f16.gguf +3 -0

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+SLM-SQL-Base-1.5B.f16.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:0894f0a486780055104e3b1c0d4f22ee8961e2b089bdd91d35e5b867b5b2ec3f
+size 1026162784

+version https://git-lfs.github.com/spec/v1
+oid sha256:da55248521367eb679fcacb17e72c0c986b396d5f138f7db26aba70f5099562e
+size 752880736

+version https://git-lfs.github.com/spec/v1
+oid sha256:6fcdccd7d0848f686efbb24412370793a3a0cd21e4fd34433c83e40dc943a235
+size 980440672

+version https://git-lfs.github.com/spec/v1
+oid sha256:d06e9327e04d44494c206b19c0e439f9d9d670bceafcd92e432fda673aee1ee2
+size 924456544

+version https://git-lfs.github.com/spec/v1
+oid sha256:040a436b20ca988cc517037ee9dbc3a4814810eee6bdb20f52f527094100939d
+size 861222496

+version https://git-lfs.github.com/spec/v1
+oid sha256:dad7b3973160b751b1c37760b4e8a2af52c23b3e8ca19527c1d04a28e1b41460
+size 1117321312

+version https://git-lfs.github.com/spec/v1
+oid sha256:cf50c34beeb5f2fce6d85e8a3f5c4593e67726d106fdd42ab2d0ea7799536b19
+size 1071585376

+version https://git-lfs.github.com/spec/v1
+oid sha256:aaa774e00916bc1bd93249420142336f323ef611cda0e9473f6a3172dd7783b9
+size 1285494880

+version https://git-lfs.github.com/spec/v1
+oid sha256:8f2c574fa96fb9fb2f6ab666a003c41c6c43e318828542c953be13668f6aa98e
+size 1259173984

+version https://git-lfs.github.com/spec/v1
+oid sha256:5dea37fd023c1e283981c71768d98a15a61180f77ea9796db3dd9411fd9ae887
+size 1464179296

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e646f4882c4a753445787df7519bdf3ca39b931a0ea3b9afa5b8610e4ae6792a
+size 1894532704

+version https://git-lfs.github.com/spec/v1
+oid sha256:144265989080afd1d87b320327dbec404d9e0c2f5b23792526699b7fb0b93d56
+size 3560416864