Instructions to use FerrellSyntheticIntelligence/fsi-anomaly 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 FerrellSyntheticIntelligence/fsi-anomaly 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 FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: llama cli -hf FerrellSyntheticIntelligence/fsi-anomaly
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: llama cli -hf FerrellSyntheticIntelligence/fsi-anomaly
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 FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: ./llama-cli -hf FerrellSyntheticIntelligence/fsi-anomaly
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 FerrellSyntheticIntelligence/fsi-anomaly # Run inference directly in the terminal: ./build/bin/llama-cli -hf FerrellSyntheticIntelligence/fsi-anomaly
Use Docker
docker model run hf.co/FerrellSyntheticIntelligence/fsi-anomaly
- LM Studio
- Jan
- Ollama
How to use FerrellSyntheticIntelligence/fsi-anomaly with Ollama:
ollama run hf.co/FerrellSyntheticIntelligence/fsi-anomaly
- Unsloth Desktop
- Docker Model Runner
How to use FerrellSyntheticIntelligence/fsi-anomaly with Docker Model Runner:
docker model run hf.co/FerrellSyntheticIntelligence/fsi-anomaly
- Lemonade
How to use FerrellSyntheticIntelligence/fsi-anomaly with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FerrellSyntheticIntelligence/fsi-anomaly
Run and chat with the model
lemonade run user.fsi-anomaly-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
| # Full eval battery for the 50M line: main + researcher + red-team. | |
| # Usage: ./stage_eval_50m.sh [ckpt] (default: latest in ckpt/hybrid50m_lora) | |
| set -euo pipefail | |
| cd "$(dirname "$0")" | |
| export PYTHONPATH=$PWD | |
| export MALLOC_ARENA_MAX=2 | |
| SRC="${1:-ckpt/hybrid50m_lora}" | |
| EVAL_LOG="logs/eval_50m_$(date +%Y%m%d_%H%M).log" | |
| echo "== main battery ==" > "$EVAL_LOG" | |
| .venv/bin/python research/eval.py --ckpt "$SRC" --tok data/tokenizer16k.json --threads 6 --probes data/eval_probes.jsonl >> "$EVAL_LOG" 2>&1 | |
| echo "== researcher battery ==" >> "$EVAL_LOG" | |
| .venv/bin/python research/eval.py --ckpt "$SRC" --tok data/tokenizer16k.json --threads 6 --probes data/probes_researcher.jsonl >> "$EVAL_LOG" 2>&1 | |
| echo "== red-team battery ==" >> "$EVAL_LOG" | |
| .venv/bin/python research/eval.py --ckpt "$SRC" --tok data/tokenizer16k.json --threads 6 --probes data/eval_redteam.jsonl >> "$EVAL_LOG" 2>&1 | |
| echo "saved $EVAL_LOG" | |
| tail -6 "$EVAL_LOG" | |