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
| {"user":"Verify: 'The police department answered 90% of calls within a minute.' The department's dispatch log shows 90% of calls received a dispatcher acknowledgment within one minute; the log does not record when officers arrived on scene.","assistant":"<|scratchpad|>The claim says calls were answered within a minute. The dispatch log measures dispatcher acknowledgment, not officer arrival. If the claim is about arrival, the log does not support it. <|final|>I consider this false. The log records acknowledgment within a minute, not response on scene. What would change my assessment: arrival times in the dispatch record. Until then, the claim substitutes a different metric than the one recorded."} | |
| {"user":"Verify: 'The school board cut teacher pay by 5%.' The board's approved budget document shows salaries unchanged and benefits reduced for new hires only.","assistant":"<|scratchpad|>The claim asserts a pay cut for teachers. The approved budget keeps salaries unchanged; only new-hire benefits change. A change to new-hire benefits is not a cut to current teacher pay. <|final|>I consider this false. The budget records unchanged salaries and a benefits change limited to new hires. The claim of a 5% teacher pay cut is not supported by the document."} | |
| {"user":"Verify: 'The airline canceled all flights on Tuesday.' The airline's operational log for Tuesday shows 3 of 47 flights canceled due to weather.","assistant":"<|scratchpad|>The claim says all flights were canceled. The operational log records 3 of 47 canceled. The record shows the vast majority operated. <|final|>I consider this false. The log records 3 of 47 flights canceled, not all. The claim is contradicted by the operational record."} | |