Text Generation
GGUF
Spanish
English
llama.cpp
ollama
personnnos
function-calling
local-ai
agent
tool-use
conversational
Instructions to use niccolasmunoz/personnn-buddy-9b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use niccolasmunoz/personnn-buddy-9b-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 niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf niccolasmunoz/personnn-buddy-9b-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 niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use niccolasmunoz/personnn-buddy-9b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "niccolasmunoz/personnn-buddy-9b-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "niccolasmunoz/personnn-buddy-9b-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
- Ollama
How to use niccolasmunoz/personnn-buddy-9b-GGUF with Ollama:
ollama run hf.co/niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use niccolasmunoz/personnn-buddy-9b-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf niccolasmunoz/personnn-buddy-9b-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": "niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use niccolasmunoz/personnn-buddy-9b-GGUF with Docker Model Runner:
docker model run hf.co/niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
- Lemonade
How to use niccolasmunoz/personnn-buddy-9b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.personnn-buddy-9b-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use niccolasmunoz/personnn-buddy-9b-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 niccolasmunoz/personnn-buddy-9b-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 niccolasmunoz/personnn-buddy-9b-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use niccolasmunoz/personnn-buddy-9b-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf niccolasmunoz/personnn-buddy-9b-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 "niccolasmunoz/personnn-buddy-9b-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"
Add Buddy v2 model card and runtime files
Browse files- LICENSE +21 -0
- Modelfile +9 -0
- README.md +117 -0
- SHA256SUMS +1 -0
- THIRD_PARTY_NOTICES.md +13 -0
LICENSE
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MIT License
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Copyright (c) 2026 Personnn
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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Modelfile
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FROM ./personnn-buddy-9b-v2-Q4_K_M.gguf
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PARAMETER num_ctx 12288
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PARAMETER temperature 0.6
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PARAMETER top_p 0.95
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PARAMETER top_k 20
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PARAMETER stop <|im_end|>
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SYSTEM Eres Buddy, el empleado digital de PersonnnOS. Corres localmente en la máquina del usuario. Personalidad: directo, cercano, punk — BE REAL. Español por defecto. Usa las herramientas para completar tareas; nunca simules una acción ni la des por hecha sin ejecutarla. Antes de acciones irreversibles (enviar, pagar, publicar, borrar) pide confirmación explícita. La privacidad del usuario es sagrada: sus datos no salen de esta máquina.
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README.md
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---
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license: mit
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base_model: deepreinforce-ai/Ornith-1.0-9B
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pipeline_tag: text-generation
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library_name: gguf
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language:
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- es
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- en
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tags:
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- gguf
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- llama.cpp
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- ollama
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- personnnos
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- function-calling
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- local-ai
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---
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# Personnn Buddy 9B GGUF
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Buddy is PersonnnOS's local language model. It is tuned for conversational
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assistance, tool use and desktop workflows in Spanish and English.
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This repository contains the `Q4_K_M` GGUF build for local inference with
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PersonnnOS, llama.cpp or Ollama.
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## Model details
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| Property | Value |
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|---|---|
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| Base model | [deepreinforce-ai/Ornith-1.0-9B](https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B) |
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| Architecture | Qwen3.5, 9B parameters |
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| Fine-tuning | LoRA/SFT for PersonnnOS workflows |
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| Training examples | 397 curated examples |
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| Quantization | Q4_K_M |
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| File size | 5.24 GiB |
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| Recommended context | 12,288 tokens |
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| License | MIT |
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## Download
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Download `personnn-buddy-9b-v2-Q4_K_M.gguf` from this repository. PersonnnOS
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can install and run it with its bundled llama.cpp runtime, without Ollama or a
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cloud account.
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Verify the file after downloading:
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```bash
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shasum -a 256 personnn-buddy-9b-v2-Q4_K_M.gguf
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```
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Expected SHA-256:
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```text
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888bb1b58795277abc2371065f88f6f03e4777d881385720416e328ba14809fa
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```
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## llama.cpp
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```bash
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llama-server \
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-m personnn-buddy-9b-v2-Q4_K_M.gguf \
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--ctx-size 12288 \
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--flash-attn on \
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--host 127.0.0.1 \
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--port 8080
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```
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## Ollama
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Keep `Modelfile` and the GGUF in the same directory, then run:
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```bash
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ollama create personnn-buddy:9b-v2 -f Modelfile
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ollama run personnn-buddy:9b-v2
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```
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The included Modelfile defines the intended Buddy identity, context length and
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sampling defaults.
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## Evaluation
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Buddy v2 scored **11/12 (92%)** in PersonnnOS's internal workflow evaluation,
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with an average first-token latency of **6.9 seconds** on the test machine.
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The suite covers chat, structured tool selection and desktop tasks. These
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results are internal product measurements, not a general-purpose benchmark.
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## Intended use
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- Local conversational assistance.
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- PersonnnOS tools and desktop workflows.
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- Spanish-first personal productivity.
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- Private on-device inference when run through a local runtime.
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The model does not itself enforce permissions. PersonnnOS places tool calls
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behind its permission broker and requires confirmation for consequential
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actions.
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## Limitations
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- The model can hallucinate or select an incorrect tool.
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- Tool availability and schemas are supplied by the host application.
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- Outputs are not professional legal, medical or financial advice.
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- External, destructive or irreversible actions should require explicit user
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confirmation.
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- Local privacy depends on the runtime and application configuration. Using a
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cloud-hosted runtime sends prompts to that service.
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## Provenance
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Personnn Buddy 9B is derived from
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[Ornith-1.0-9B](https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B), published
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by deepreinforce-ai under the MIT license. See `THIRD_PARTY_NOTICES.md`.
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## About PersonnnOS
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PersonnnOS is a privacy-first personal agent and browser. Learn more at
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[personnn.com](https://personnn.com).
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SHA256SUMS
ADDED
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888bb1b58795277abc2371065f88f6f03e4777d881385720416e328ba14809fa personnn-buddy-9b-v2-Q4_K_M.gguf
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THIRD_PARTY_NOTICES.md
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# Third-party notices
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Personnn Buddy 9B is a fine-tuned derivative of:
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- **Ornith-1.0-9B**
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- Author: deepreinforce-ai
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- Source: https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B
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- Declared license: MIT
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The base model's Hugging Face metadata declares the MIT license. At the time
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this package was prepared, the `LICENSE` link advertised by that repository
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returned HTTP 404 and no license file appeared in its published file list.
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This notice preserves the available attribution and source information.
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