Text Classification
GGUF
ollaya
ollama
trainaya
decision-model
system-1
llm-logits-v1
calibrated
ministral
conversational
Instructions to use solarpush/push-3b 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 solarpush/push-3b 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 solarpush/push-3b # Run inference directly in the terminal: llama cli -hf solarpush/push-3b
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf solarpush/push-3b # Run inference directly in the terminal: llama cli -hf solarpush/push-3b
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 solarpush/push-3b # Run inference directly in the terminal: ./build/bin/llama cli -hf solarpush/push-3b
Use Docker
docker model run hf.co/solarpush/push-3b
- Llama new
- LM Studio
- Jan
- Ollama
How to use solarpush/push-3b with Ollama:
ollama run hf.co/solarpush/push-3b
- Unsloth Desktop
- Pi
How to use solarpush/push-3b with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf solarpush/push-3b
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": "solarpush/push-3b" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use solarpush/push-3b with Docker Model Runner:
docker model run hf.co/solarpush/push-3b
- Lemonade
How to use solarpush/push-3b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull solarpush/push-3b
Run and chat with the model
lemonade run user.push-3b-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use solarpush/push-3b with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf solarpush/push-3b
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 solarpush/push-3b
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use solarpush/push-3b with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf solarpush/push-3b
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 "solarpush/push-3b" \ --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"
File size: 788 Bytes
435ea01 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
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"temperature_range": [
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"baseline_accuracy": {
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"oof_accuracy": {
"total": 0.683,
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},
"post_quant_accuracy": {
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},
"trained_samples": 3050,
"source": "Trainaya Multi-Stage GGUF Decision Trainer (55/45 Kernel Ridge + Masked Softmax KL+Brier+RPS AdamW, 5-Fold OOF Calibrated)"
} |