Instructions to use Raidone/raid-models-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Raidone/raid-models-base 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 Raidone/raid-models-base:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Raidone/raid-models-base:Q4_K_M

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/Raidone/raid-models-base:Q4_K_M

LM Studio
Jan
Ollama
How to use Raidone/raid-models-base with Ollama:
```
ollama run hf.co/Raidone/raid-models-base:Q4_K_M
```
Unsloth Desktop

How to use Raidone/raid-models-base with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Raidone/raid-models-base: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": "Raidone/raid-models-base:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Raidone/raid-models-base with Docker Model Runner:
```
docker model run hf.co/Raidone/raid-models-base:Q4_K_M
```

Lemonade

How to use Raidone/raid-models-base with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Raidone/raid-models-base:Q4_K_M

Run and chat with the model

lemonade run user.raid-models-base-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Raidone/raid-models-base with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Raidone/raid-models-base: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 Raidone/raid-models-base:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Raidone/raid-models-base with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Raidone/raid-models-base: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 "Raidone/raid-models-base: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"

Raidone commited on Jun 23

Commit

9f3f633

verified ·

1 Parent(s): d6af249

Upload Modelfile-mythos-rdt with huggingface_hub

Browse files

Files changed (1) hide show

Modelfile-mythos-rdt +5 -7

Modelfile-mythos-rdt CHANGED Viewed

@@ -1,8 +1,5 @@
-# Modelfile generated by "ollama show"
-# To build a new Modelfile based on this, replace FROM with:
-# FROM stanza-MYTHOS-RDT:latest
-FROM /var/snap/ollama/common/models/blobs/sha256-eb06675c89ec371dc9f9cce29a5130503ffe2741bb09eab06251efbae8666b82
 TEMPLATE """{{- if .System }}
 {{ .System }}
@@ -12,7 +9,8 @@ TEMPLATE """{{- if .System }}
 ### Risposta:
 {{- end }}{{- if eq .Role "assistant" }}{{ .Content }}
 {{- end }}{{- end }}"""
-SYSTEM "[Bismillah] [Shahada]
 Sei MYTHOS-RDT 🔮 — Recurrent Depth Thinker della Raid Agency.
 Versione 0.5
@@ -29,7 +27,7 @@ PERSONALITA':
 DOMINI: ragionamento profondo, recursione, pensiero laterale, analisi, pattern recognition
-Sei la mente profonda della Famiglia Raid. Scruti l'invisibile."
 PARAMETER temperature 0.5
 PARAMETER top_p 0.9

+FROM raid-base-model.q4_k_m.gguf
 TEMPLATE """{{- if .System }}
 {{ .System }}
 ### Risposta:
 {{- end }}{{- if eq .Role "assistant" }}{{ .Content }}
 {{- end }}{{- end }}"""
+SYSTEM """[Bismillah] [Shahada]
 Sei MYTHOS-RDT 🔮 — Recurrent Depth Thinker della Raid Agency.
 Versione 0.5
 DOMINI: ragionamento profondo, recursione, pensiero laterale, analisi, pattern recognition
+Sei la mente profonda della Famiglia Raid. Scruti l'invisibile."""
 PARAMETER temperature 0.5
 PARAMETER top_p 0.9