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Lilgarca
/
my-model-v02

Any-to-Any
Transformers
Safetensors
GGUF
Spanish
English
cyrah
feature-extraction
cyrah-architecture
from-scratch
omni
multimodal
text-generation
text-to-audio
text-to-image
text-to-video
audio
image
video
reasoning
tool-calling
custom_code
conversational
Model card Files Files and versions
xet
Community

Instructions to use Lilgarca/my-model-v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Lilgarca/my-model-v02 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Lilgarca/my-model-v02", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use Lilgarca/my-model-v02 with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible embeddings server:
    llama serve -hf Lilgarca/my-model-v02:Q4_0 --embeddings
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible embeddings server:
    llama serve -hf Lilgarca/my-model-v02:Q4_0 --embeddings
    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 embeddings server:
    ./build/bin/llama serve -hf Lilgarca/my-model-v02:Q4_0 --embeddings
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use Lilgarca/my-model-v02 with Ollama:

    ollama run hf.co/Lilgarca/my-model-v02:Q4_0
  • Unsloth Desktop
  • Pi

    How to use Lilgarca/my-model-v02 with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf Lilgarca/my-model-v02:Q4_0
    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": "Lilgarca/my-model-v02:Q4_0"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use Lilgarca/my-model-v02 with Docker Model Runner:

    docker model run hf.co/Lilgarca/my-model-v02:Q4_0
  • Lemonade

    How to use Lilgarca/my-model-v02 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Lilgarca/my-model-v02:Q4_0
    Run and chat with the model
    lemonade run user.my-model-v02-Q4_0
    List all available models
    lemonade list
  • Hermes Agent

    How to use Lilgarca/my-model-v02 with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf Lilgarca/my-model-v02:Q4_0
    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 Lilgarca/my-model-v02:Q4_0
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use Lilgarca/my-model-v02 with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf Lilgarca/my-model-v02:Q4_0
    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 "Lilgarca/my-model-v02:Q4_0" \
      --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"

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Preview of files found in this repository
  • gguf
    cyrah ciclo 8: cyrah-Q4_0.gguf 17 minutes ago
  • .gitattributes
    1.63 kB
    cyrah ciclo 1: cyrah-Q4_0.gguf 4 days ago
  • README.md
    14.3 kB
    cyrah ciclo 8: model card 17 minutes ago
  • chat_template.jinja
    4.76 kB
    Cyrah v02: 236M omni, 65536 vocab, warm-started from cyrah-Q4_0 4 days ago
  • config.json
    2.76 kB
    cyrah stream: 98 pasos reales (loss 2.3148) 10 minutes ago
  • configuration_cyrah.py
    26 kB
    cyrah ciclo 1: checkpoint entrenado (34947 ejemplos) 3 days ago
  • generation_config.json
    205 Bytes
    cyrah stream: 98 pasos reales (loss 2.3148) 10 minutes ago
  • model.safetensors
    495 MB
    xet
    cyrah stream: 211 pasos reales (loss 2.3494) 2 minutes ago
  • modeling_cyrah.py
    66.3 kB
    cyrah ciclo 1: checkpoint entrenado (34947 ejemplos) 3 days ago
  • special_tokens_map.json
    434 Bytes
    cyrah ciclo 1: checkpoint entrenado (55804 ejemplos) 4 days ago
  • stream.json
    81 Bytes
    cyrah stream: 211 pasos reales (loss 2.3494) 2 minutes ago
  • tokenizer.json
    4.73 MB
    Cyrah v02: 236M omni, 65536 vocab, warm-started from cyrah-Q4_0 4 days ago
  • tokenizer_config.json
    92.2 kB
    cyrah ciclo 1: checkpoint entrenado (55804 ejemplos) 4 days ago