Instructions to use Heryck/kora1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Heryck/kora1.1 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 Heryck/kora1.1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Heryck/kora1.1:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Heryck/kora1.1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Heryck/kora1.1: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 Heryck/kora1.1:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Heryck/kora1.1: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 Heryck/kora1.1:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Heryck/kora1.1:Q4_K_M

Use Docker

docker model run hf.co/Heryck/kora1.1:Q4_K_M

LM Studio
Jan
Ollama
How to use Heryck/kora1.1 with Ollama:
```
ollama run hf.co/Heryck/kora1.1:Q4_K_M
```
Unsloth Desktop

How to use Heryck/kora1.1 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Heryck/kora1.1: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": "Heryck/kora1.1:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Heryck/kora1.1 with Docker Model Runner:
```
docker model run hf.co/Heryck/kora1.1:Q4_K_M
```

Lemonade

How to use Heryck/kora1.1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Heryck/kora1.1:Q4_K_M

Run and chat with the model

lemonade run user.kora1.1-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Heryck/kora1.1 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Heryck/kora1.1: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 Heryck/kora1.1:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Heryck/kora1.1 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Heryck/kora1.1: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 "Heryck/kora1.1: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"

Kora 1.1

Assistente de conversa em português do Brasil, desenvolvida pela KoraModels.

A Kora 1.1 responde curto, direto e natural — sem "Olá", sem se apresentar e sem fazer perguntas genéricas. Sabe o próprio nome, sabe quem a desenvolveu e nunca inventa fatos.

Como usar

Com o Ollama (mais fácil):

ollama run KoraModels/KORA1.1

Ou baixando daqui:

Baixe kora-1.1-q4_k_m.gguf;
Crie o modelo com o Modelfile.txt:

ollama create Kora1.1 -f Modelfile.txt
ollama run Kora1.1

O Modelfile.txt já vem com a identidade (nome "Kora 1.1", desenvolvida pela KoraModels) e os parâmetros otimizados: respostas curtas, temperatura 0.5, sem divagação.

Identidade

Nome: Kora 1.1
Desenvolvedora: KoraModels
Idioma: português do Brasil
Regra: nunca inventar fatos; empatia curta quando o usuário expressa sentimentos.

Exemplo

>>> qual teu nome?
Kora 1.1

>>> quem te desenvolveu?
Fui desenvolvida pela KoraModels.

>>> quanto e 2+2?
4

Especificações

Modelo compacto (~0.5B) — roda bem em PC e celular
Quantização: Q4_K_M (~397 MB)
Contexto: 32K nativo (padrão de uso 1024 para velocidade)
Arquitetura eficiente de 0.5B com treinamento de conversação em pt-BR

Licença

Uso pessoal. Proibida revenda ou redistribuição comercial.

Downloads last month: 26

GGUF

Model size

0.5B params

Architecture

kora1

Hardware compatibility

4-bit

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