Instructions to use muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-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 muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-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 muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-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 muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-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 muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M

Use Docker

docker model run hf.co/muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF with Ollama:
```
ollama run hf.co/muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF with Docker Model Runner:
```
docker model run hf.co/muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M
```

Lemonade

How to use muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull muzerai/kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.kanana-nano-2.1b-instruct-creative-de-aijoa-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

muzerai commited on Mar 3, 2025

Commit

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@@ -267,14 +267,6 @@ The **Directional Enhancement** technique provides an efficient way to strengthe
 The `Kanana` models are licensed under [CC-BY-NC-4.0](https://spdx.org/licenses/CC-BY-NC-4.0).
-## **References & Citations**
-This methodology was inspired by the following studies:
-- **Representation Engineering: A Top-Down Approach to AI Alignment**
-- **The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets**
-- **Finding Directions in GAN's Latent Space**
 ## Contact
 - AI JOAH : utxopool@gmail.com

 The `Kanana` models are licensed under [CC-BY-NC-4.0](https://spdx.org/licenses/CC-BY-NC-4.0).
 ## Contact
 - AI JOAH : utxopool@gmail.com