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: 7,911 Bytes
76b78ee | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 | """External verification loop for the FSI suit (harness doctrine #5).
Big-tech basis (docs/harness_research.md): LLMs cannot self-correct with
intrinsic critique (arXiv 2310.01798); small models need STRONG EXTERNAL
verifiers (arXiv 2404.09931); CRITIC makes tools the critic (2305.11738);
Chain-of-Verification = draft -> verify -> revise (2309.09308).
Flow (deterministic suit logic; the head never grades itself):
1. DRAFT: constrained analyst verdict on the claim (or rule spine first).
2. VERIFY: plan checkable value probes (numbers/years/times/quoted values)
from the claim; for each, retrieve the record evidence and run the
deterministic spine (research/verify.py).
3. REVISE: if the spine resolves (supports/refutes), the spine verdict
WINS (it cannot hallucinate); if unresolved (no-values/partial), keep the
draft verdict but do not raise confidence; if any check contradicts the
draft, downgrade to LOW and flag the discrepancy.
4. TRACE: full chain-of-custody (checks, sources, decisions).
Usage:
from research.verify_loop import verify_case, plan_checks, run_checks
"""
import re
from research.provenance import evaluate_source_policy
from research.verify import deterministic_verdict
_QUOTE = re.compile(r"[\"']([^\"']{4,60})[\"']")
_NUM = re.compile(r"\b\d+(?:,\d{3})*(?:\.\d+)?%?\b")
_YEAR = re.compile(r"\b(?:19|20)\d{2}\b")
_TIME = re.compile(r"\d{1,2}:\d{2}") # no trailing \b: "9:30am" has none
def plan_checks(claim):
"""Extract checkable value probes from a claim (deterministic)."""
checks = []
seen = set()
for m in _QUOTE.finditer(claim):
q = m.group(1).strip()
if q.lower() not in seen:
seen.add(q.lower())
checks.append({"kind": "quote", "value": q})
# times first so their digits are not double-counted as numbers
for m in _TIME.finditer(claim):
v = m.group(0)
if v.lower() not in seen:
seen.add(v.lower())
checks.append({"kind": "time", "value": v})
rest = _TIME.sub(" ", claim)
for pat, kind in ((_NUM, "number"), (_YEAR, "year")):
for m in pat.finditer(rest):
v = m.group(0)
if v.lower() not in seen:
seen.add(v.lower())
checks.append({"kind": kind, "value": v})
return checks[:8]
def _retrieval_bundle(raw):
"""Normalize legacy text retrieval and traceable evidence bundles."""
if isinstance(raw, dict):
evidence = raw.get("evidence", raw.get("text", ""))
sources = raw.get("sources", [])
relation = str(raw.get("claim_relation", "")).strip().lower()
return str(evidence or ""), list(sources) if isinstance(sources, list) else [], relation
return str(raw or ""), [], ""
def run_checks(checks, retrieve, spine=deterministic_verdict,
require_source_policy=False):
"""Run each probe: retrieve evidence for the value, deterministic compare.
retrieve(value) -> text (legacy) or an evidence bundle:
{"evidence": str, "sources": [...], "claim_relation": supports|refutes}.
When ``require_source_policy`` is true, a bundle must pass SOP 09 and its
claim relation must agree with the deterministic value check. Otherwise it
is a lead, not verified evidence.
Returns list of {kind, value, evidence, verdict, kind_of_spine, explain}.
"""
results = []
for c in checks:
evidence, sources, relation = _retrieval_bundle(retrieve(c["value"]))
if not evidence:
results.append({**c, "evidence": "", "verdict": "not enough information",
"kind": "no-evidence", "explain": "no record retrieved"})
continue
doc = f"Claim: {c['value']}\nEvidence: {evidence}"
r = spine(doc)
result = {**c, "evidence": evidence[:200], "value_verdict": r["verdict"],
"verdict": r["verdict"], "kind": r["kind"],
"explain": r["explain"]}
if require_source_policy:
policy = evaluate_source_policy(sources)
result["source_policy"] = policy
result["source_ids"] = [card["source_id"] for card in policy["sources"]]
if not policy["verified"]:
result.update(verdict="not enough information", kind="source-policy-failed",
explain=policy["reason"])
elif relation not in ("supports", "refutes"):
result.update(verdict="not enough information", kind="source-relation-missing",
explain="verified source bundle lacks a checked claim relation")
elif relation != r["verdict"]:
result.update(verdict="not enough information", kind="source-relation-conflict",
explain="claim relation conflicts with deterministic value check")
else:
result.update(verdict=relation, kind="source-policy-verified",
explain="source policy and value check agree")
results.append(result)
return results
def _classify(checks):
"""Aggregate spine results: supports / refutes / mixed / unresolved."""
resolved = [c for c in checks if c["verdict"] in ("supports", "refutes")]
if not resolved:
return "unresolved", None
supports = sum(1 for c in resolved if c["verdict"] == "supports")
if supports == len(resolved):
return "supports", None
if supports == 0:
return "refutes", None
return "mixed", [c for c in resolved if c["verdict"] == "refutes"]
def verify_case(claim, draft_verdict, draft_conf, retrieve,
spine=deterministic_verdict, require_source_policy=True):
"""Draft -> verify -> revise. Returns a decision dict with trace.
claim: the claim under investigation (text).
draft_verdict/conf: the constrained analyst verdict + confidence.
retrieve(value) -> record evidence text or a traceable evidence bundle.
require_source_policy: fail closed unless the bundle passes SOP 09.
"""
checks = plan_checks(claim)
results = run_checks(checks, retrieve, spine=spine,
require_source_policy=require_source_policy)
status, refuting = _classify(results)
if status == "supports":
verdict, conf = "true", "HIGH"
basis = "source-policy-verified" if require_source_policy else "rule-verified"
elif status == "refutes":
verdict, conf, basis = "false", "HIGH", "rule-refuted"
elif status == "mixed":
verdict, conf = ("not enough information", "LOW") if require_source_policy else ("low confidence", "LOW")
basis = "rule-mixed:" + ",".join(c["value"] for c in refuting[:3])
else:
if require_source_policy:
verdict, conf, basis = "not enough information", "LOW", "source-policy-incomplete"
return {
"verdict": verdict,
"confidence": conf,
"basis": basis,
"checks": results,
"sources": [sid for c in results for sid in c.get("source_ids", [])][:8],
"abstained": True,
}
# unresolved: the spine cannot confirm; keep the draft but never raise
verdict = draft_verdict or "not enough information"
conf = draft_conf if draft_conf in ("LOW", "MEDIUM", "HIGH") else "LOW"
basis = "unresolved-by-spine"
if draft_conf == "HIGH":
conf, basis = "MEDIUM", "draft-high-downgraded-unverified"
return {
"verdict": verdict,
"confidence": conf,
"basis": basis,
"checks": results,
"sources": [sid for c in results for sid in c.get("source_ids", [])][:8]
if require_source_policy else [c["evidence"] for c in results if c["evidence"]][:6],
"abstained": verdict == "not enough information",
}
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