Instructions to use llmware/bling-stablelm-3b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use llmware/bling-stablelm-3b-gguf with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("llmware/bling-stablelm-3b-gguf", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use llmware/bling-stablelm-3b-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 llmware/bling-stablelm-3b-gguf
# Run inference directly in the terminal:
llama cli -hf llmware/bling-stablelm-3b-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf llmware/bling-stablelm-3b-gguf
# Run inference directly in the terminal:
llama cli -hf llmware/bling-stablelm-3b-gguf

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 llmware/bling-stablelm-3b-gguf
# Run inference directly in the terminal:
./llama-cli -hf llmware/bling-stablelm-3b-gguf

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 llmware/bling-stablelm-3b-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf llmware/bling-stablelm-3b-gguf

Use Docker

docker model run hf.co/llmware/bling-stablelm-3b-gguf

LM Studio
Jan
Ollama
How to use llmware/bling-stablelm-3b-gguf with Ollama:
```
ollama run hf.co/llmware/bling-stablelm-3b-gguf
```

Unsloth Studio

How to use llmware/bling-stablelm-3b-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 llmware/bling-stablelm-3b-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 llmware/bling-stablelm-3b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for llmware/bling-stablelm-3b-gguf to start chatting

Docker Model Runner
How to use llmware/bling-stablelm-3b-gguf with Docker Model Runner:
```
docker model run hf.co/llmware/bling-stablelm-3b-gguf
```

Lemonade

How to use llmware/bling-stablelm-3b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull llmware/bling-stablelm-3b-gguf

Run and chat with the model

lemonade run user.bling-stablelm-3b-gguf-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

Model Card for Model ID

bling-stablelm-3b-gguf is a quantized version of BLING Stable-LM 3B, with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.

bling-stablelm-3b is a fact-based question-answering model, optimized for complex business documents.

To pull the model via API:

from huggingface_hub import snapshot_download           
snapshot_download("llmware/bling-stablelm-3b-gguf", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)

Load in your favorite GGUF inference engine, or try with llmware as follows:

from llmware.models import ModelCatalog  
model = ModelCatalog().load_model("llmware/bling-stablelm-3b-gguf")            
response = model.inference(query, add_context=text_sample, add_prompt_engineering="default_with_context")

Note: please review config.json in the repository for prompt wrapping information, details on the model, and full test set.

Model Description

Developed by: llmware
Model type: GGUF
Language(s) (NLP): English
License: CC-BY-SA-4.0
Quantized from model: llmware/bling-stablelm-3b

Model Card Contact

Darren Oberst & llmware team

Downloads last month: 65

GGUF

Model size

3B params

Architecture

stablelm

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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