Instructions to use TechCarbasa/MyModels 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 TechCarbasa/MyModels 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 TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: llama cli -hf TechCarbasa/MyModels:Q5_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: llama cli -hf TechCarbasa/MyModels:Q5_0
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 TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf TechCarbasa/MyModels:Q5_0
Use Docker
docker model run hf.co/TechCarbasa/MyModels:Q5_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use TechCarbasa/MyModels with Ollama:
ollama run hf.co/TechCarbasa/MyModels:Q5_0
- Unsloth Desktop
- Pi
How to use TechCarbasa/MyModels with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_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": "TechCarbasa/MyModels:Q5_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use TechCarbasa/MyModels with Docker Model Runner:
docker model run hf.co/TechCarbasa/MyModels:Q5_0
- Lemonade
How to use TechCarbasa/MyModels with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TechCarbasa/MyModels:Q5_0
Run and chat with the model
lemonade run user.MyModels-Q5_0
List all available models
lemonade list
- Hermes Agent
How to use TechCarbasa/MyModels with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_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 TechCarbasa/MyModels:Q5_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TechCarbasa/MyModels with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_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 "TechCarbasa/MyModels:Q5_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"
Move 2 file(s) from workflows to workflowbackup
Browse files
workflows/flux-API.json
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workflows/image_ideogram4_V1 with KJ Prompt BuilderAPI.json
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| 187 |
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| 188 |
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| 189 |
-
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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0
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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"title": "CLIP Text Encode (Positive Prompt)"
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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| 240 |
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| 241 |
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| 242 |
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| 243 |
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| 244 |
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| 245 |
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| 246 |
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| 247 |
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| 249 |
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| 259 |
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| 262 |
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| 286 |
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| 287 |
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| 288 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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| 293 |
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| 294 |
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| 295 |
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| 296 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 308 |
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| 309 |
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| 311 |
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| 312 |
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| 313 |
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| 314 |
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| 315 |
-
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| 316 |
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| 317 |
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| 318 |
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| 319 |
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| 320 |
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| 321 |
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| 323 |
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| 324 |
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| 325 |
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| 326 |
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| 327 |
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| 328 |
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| 329 |
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| 330 |
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| 331 |
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| 332 |
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| 333 |
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| 334 |
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| 335 |
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| 336 |
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| 337 |
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| 338 |
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| 339 |
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| 340 |
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| 341 |
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| 342 |
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| 343 |
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| 344 |
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| 345 |
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| 346 |
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| 347 |
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| 348 |
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-
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| 350 |
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| 351 |
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| 352 |
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| 355 |
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| 356 |
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| 357 |
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| 358 |
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| 359 |
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| 360 |
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| 361 |
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| 362 |
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| 363 |
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| 364 |
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| 365 |
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| 366 |
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| 367 |
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| 368 |
-
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| 369 |
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| 370 |
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| 371 |
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| 372 |
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| 373 |
-
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| 374 |
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| 375 |
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| 376 |
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| 377 |
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| 378 |
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| 379 |
-
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| 380 |
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"title": "Load Diffusion Model"
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| 381 |
-
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| 382 |
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| 383 |
-
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| 384 |
-
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| 385 |
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| 386 |
-
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| 388 |
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| 389 |
-
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| 390 |
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0
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| 391 |
-
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| 392 |
-
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| 393 |
-
"class_type": "CFGOverride",
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| 394 |
-
"_meta": {
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| 395 |
-
"title": "CFG Override"
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| 396 |
-
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| 397 |
-
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| 398 |
-
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| 399 |
-
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| 400 |
-
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| 401 |
-
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| 402 |
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| 403 |
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| 404 |
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| 405 |
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| 406 |
-
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| 407 |
-
0
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| 408 |
-
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| 409 |
-
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| 410 |
-
"319",
|
| 411 |
-
0
|
| 412 |
-
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| 413 |
-
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|
| 414 |
-
"297",
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| 415 |
-
0
|
| 416 |
-
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| 417 |
-
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| 418 |
-
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| 419 |
-
"_meta": {
|
| 420 |
-
"title": "Dual Model CFG Guider"
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| 421 |
-
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| 422 |
-
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| 423 |
-
"322": {
|
| 424 |
-
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|
| 425 |
-
"choice": "Turbo",
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| 426 |
-
"index": 2,
|
| 427 |
-
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| 428 |
-
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| 429 |
-
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| 430 |
-
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| 431 |
-
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| 432 |
-
"class_type": "CustomCombo",
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| 433 |
-
"_meta": {
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| 434 |
-
"title": "Custom Combo"
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| 435 |
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| 436 |
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| 437 |
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