Instructions to use concedo/KobbleSmall-2B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use concedo/KobbleSmall-2B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="concedo/KobbleSmall-2B-GGUF",
	filename="KobbleSmall-F16.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 concedo/KobbleSmall-2B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf concedo/KobbleSmall-2B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf concedo/KobbleSmall-2B-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf concedo/KobbleSmall-2B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf concedo/KobbleSmall-2B-GGUF:Q4_K_S

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 concedo/KobbleSmall-2B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf concedo/KobbleSmall-2B-GGUF:Q4_K_S

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 concedo/KobbleSmall-2B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf concedo/KobbleSmall-2B-GGUF:Q4_K_S

Use Docker

docker model run hf.co/concedo/KobbleSmall-2B-GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use concedo/KobbleSmall-2B-GGUF with Ollama:
```
ollama run hf.co/concedo/KobbleSmall-2B-GGUF:Q4_K_S
```

Unsloth Studio new

How to use concedo/KobbleSmall-2B-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 concedo/KobbleSmall-2B-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 concedo/KobbleSmall-2B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for concedo/KobbleSmall-2B-GGUF to start chatting

Docker Model Runner
How to use concedo/KobbleSmall-2B-GGUF with Docker Model Runner:
```
docker model run hf.co/concedo/KobbleSmall-2B-GGUF:Q4_K_S
```

Lemonade

How to use concedo/KobbleSmall-2B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull concedo/KobbleSmall-2B-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.KobbleSmall-2B-GGUF-Q4_K_S

List all available models

lemonade list

KobbleSmall-2B-GGUF

This is the GGUF quantization of the KobbleSmall-2B model.

You can obtain the unquantized model here: https://huggingface.co/concedo/KobbleSmall-2B

Dataset and Objectives

The Kobble Dataset is a semi-private aggregated dataset made from multiple online sources and web scrapes. It contains content chosen and formatted specifically to work with KoboldAI software and Kobold Lite.

Dataset Categories:

Instruct: Single turn instruct examples presented in the Alpaca format, with an emphasis on uncensored and unrestricted responses.
Chat: Two participant roleplay conversation logs in a multi-turn raw chat format that KoboldAI uses.
Story: Unstructured fiction excerpts, including literature containing various erotic and provocative content.

Prompt template: Alpaca

### Instruction:
{prompt}

### Response:

Note: No assurances will be provided about the origins, safety, or copyright status of this model, or of any content within the Kobble dataset.
If you belong to a country or organization that has strict AI laws or restrictions against unlabelled or unrestricted content, you are advised not to use this model.

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GGUF

Model size

3B params

Architecture

gemma2

Hardware compatibility

2-bit

4-bit

6-bit

8-bit

16-bit

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