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
Upload CHANGELOG.md with huggingface_hub
Browse files- CHANGELOG.md +10 -0
CHANGELOG.md
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@@ -894,3 +894,13 @@ RSS ~1.1GB growing, log logs/pretrain50m.log, first step line at 550.
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data/sft_v26.jsonl = 317 rows (119 base + 198 gold; 28/class x 7 + 2
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final) via data/build_gold_900.py (assemble-only, hard-aborts on
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malformed rows). Next SFT run (v26) will train on this.
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data/sft_v26.jsonl = 317 rows (119 base + 198 gold; 28/class x 7 + 2
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final) via data/build_gold_900.py (assemble-only, hard-aborts on
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malformed rows). Next SFT run (v26) will train on this.
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## 2026-08-13 — HF continuity backup: repo + full-project push
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- Created private repo `FerrellSyntheticIntelligence/fsi-anomaly` (backup so
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the project can be pulled to another machine and continued; NOT a release).
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- `hf_backup.py`: batched, resume-safe uploader (manifest by sha256, skips
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files already on the Hub, commits every ~100 files / ~1.5GB). Push started
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2026-08-13 23:57 UTC covering every project file including all checkpoints.
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- `agent_notes.md`: added "PICK UP HERE — 2026-08-13" handoff block at the top
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(what the project is, current 50M/16k model line, measured battery numbers,
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staged data, running pipeline, verified commands, measured gotchas).
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