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
File size: 5,762 Bytes
8b8e59d | 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 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 | """CaseFile notebook (journalism suite layer 7).
A durable, auditable case notebook: sources, claims, evidence, timeline
events, threads, and findings in one JSONL file per case under data/casefiles/.
Every finding carries a thread, verdict, confidence, and the source ids it
rests on (chain-of-custody). The notebook is the deliverable a journalist can
show a grants panel or an editor — not just chat history.
Usage:
from research.casefile import CaseFile
cf = CaseFile("bridge_case")
cf.add_source("s1", "DOT filing 2010", tier="verified-leak")
cf.add_finding("main", "bridge opened 2010", "supports", "HIGH", ["s1"])
md = cf.export_markdown()
"""
import json
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
CASE_DIR = ROOT / "data" / "casefiles"
class CaseFile:
def __init__(self, name="case"):
self.name = name
self.path = CASE_DIR / f"{name}.jsonl"
self.records = []
self._load()
def _load(self):
if not self.path.exists():
return
for line in self.path.read_text(encoding="utf-8").splitlines():
line = line.strip()
if line:
try:
self.records.append(json.loads(line))
except ValueError:
pass
def _append(self, rec):
self.records.append(rec)
self.path.parent.mkdir(parents=True, exist_ok=True)
with self.path.open("a", encoding="utf-8") as fh:
fh.write(json.dumps(rec, ensure_ascii=False) + "\n")
return rec
def add_source(self, source_id, title, tier="unverified", url="", date="",
retrievable=True, independent=True, origin="",
content_sha256="", triage=None, retrieved_at=""):
return self._append({"type": "source", "source_id": source_id,
"title": title, "tier": tier, "url": url,
"date": date, "retrievable": retrievable,
"independent": independent, "origin": origin,
"content_sha256": content_sha256,
"triage": triage or {}, "retrieved_at": retrieved_at,
"ts": time.strftime("%Y-%m-%d")})
def add_claim(self, claim, source_ids, verdict="", confidence="", source_policy=None):
return self._append({"type": "claim", "claim": claim,
"source_ids": list(source_ids),
"verdict": verdict, "confidence": confidence,
"source_policy": source_policy or {},
"ts": time.strftime("%Y-%m-%d")})
def add_evidence(self, claim, source_id, quote, supports=True):
return self._append({"type": "evidence", "claim": claim,
"source_id": source_id, "quote": quote,
"supports": supports,
"ts": time.strftime("%Y-%m-%d")})
def add_event(self, when, what, source_id="-"):
return self._append({"type": "event", "when": when, "what": what,
"source_id": source_id})
def add_thread(self, name, question):
return self._append({"type": "thread", "name": name,
"question": question,
"ts": time.strftime("%Y-%m-%d")})
def add_finding(self, thread, claim, verdict, confidence, source_ids,
missing="", source_policy=None):
return self._append({"type": "finding", "thread": thread, "claim": claim,
"verdict": verdict, "confidence": confidence,
"source_ids": list(source_ids), "missing": missing,
"source_policy": source_policy or {},
"ts": time.strftime("%Y-%m-%d")})
def sources(self):
return [r for r in self.records if r["type"] == "source"]
def claims(self):
return [r for r in self.records if r["type"] == "claim"]
def findings(self):
return [r for r in self.records if r["type"] == "findings"
or r["type"] == "finding"]
def threads(self):
seen = {}
for r in self.records:
if r["type"] == "thread":
seen[r["name"]] = r["question"]
return seen
def export_markdown(self):
lines = [f"# CaseFile: {self.name}", ""]
lines.append("## Sources")
for s in self.sources():
lines.append(f"- `{s['source_id']}` [{s['tier']}] {s['title']} "
f"{s.get('url', '')}")
lines.append("")
lines.append("## Threads")
for name, q in self.threads().items():
lines.append(f"- **{name}**: {q}")
lines.append("")
lines.append("## Claims")
for c in self.claims():
lines.append(f"- {c['claim']} -> {c.get('verdict', '')} "
f"{c.get('confidence', '')} "
f"(sources: {', '.join(c['source_ids'])})")
lines.append("")
lines.append("## Findings")
for f in self.findings():
lines.append(f"- [{f.get('thread', '-')}] {f['claim']} -> "
f"{f['verdict']} {f['confidence']} "
f"(sources: {', '.join(f['source_ids'])})")
if f.get("missing"):
lines.append(f" - missing: {f['missing']}")
lines.append("")
lines.append("## Timeline")
for e in [r for r in self.records if r["type"] == "event"]:
lines.append(f"- {e['when']}: {e['what']} ({e['source_id']})")
return "\n".join(lines)
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