Model Profile

Llama-4-Scout-17B-16E-Instruct

Name: Llama-4-Scout-17B-16E-Instruct
Author: meta

External Benchmark Shadowexternal_benchmark_shadowpublic

4,096 ctx

Use this page to decide where this model is a strong fit. Rankings below are benchmark-backed by use case, with explicit confidence and contributor metrics.

Identity

ID: external/meta/llama-4-scout-17b-16e-instruct

Author: meta

Origin: external_benchmark_shadow

Arch: unknown

Benchmark Coverage

Scored use cases: 12

Avg confidence: 21.6%

Evidence points: 163

Raw rows: 389

Weighted rows: 28

Catalog Metadata

Parameters: unknown

Context window: 4096

Downloads: 0

Some fit rows have limited benchmark evidence.

11 of 12 scored use cases have low confidence or thin contributor coverage.

Coverage Diagnostics

actively scored

Use-Case Scores

101

Total Measurements

389

Weighted Measurements

Weighted Sources

Raw Source Coverage

ugi_main 60vals_mmlu_pro 60vals_mgsm 48corpfin_taxeval_public 28vals_medqa 28vectara_hhem_leaderboard 21

Weighted Source Coverage

vectara_hhem_leaderboard 12ugi_main 3vals_corp_fin_v2 3bridge_medical_leaderboard 2vals_gpqa 1vals_lcb 1

Best Use Cases for This Model

Use Case	Vertical	Score	Confidence	Evidence	Top Contributor
Thesis red teaming use_case.fin.thesis_red_team	finance	14.1%	27.0%	14	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Earnings call synthesis use_case.fin.earnings_call_synthesis	finance	12.7%	24.2%	14	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Transaction anomaly narrative use_case.fin.transaction_anomaly_narrative	finance	12.4%	23.7%	14	Vectara HHEM Leaderboard: overall_hallucination_error_pct
KYC profile synthesis use_case.fin.kyc_profile_synthesis	finance	11.9%	22.8%	14	Vectara HHEM Leaderboard: overall_hallucination_error_pct
AML alert triage use_case.fin.aml_alert_triage	finance	11.9%	22.8%	14	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Cross-paper contradiction analysis use_case.bio.paper_contradictions	biomed_science	11.6%	21.0%	13	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Literature synthesis with citations use_case.bio.literature_synthesis	biomed_science	11.6%	21.0%	13	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Contract Q&A (RAG grounded) use_case.legal.contract_qna	legal	11.5%	17.9%	13	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Knowledge base Q&A (fast, no citations) use_case.business.kb_qna_fast	business_productivity	11.3%	18.0%	13	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Regulatory summary use_case.legal.regulatory_summary	legal	11.3%	17.6%	13	Vectara HHEM Leaderboard: overall_hallucination_error_pct
Accounts payable invoice extraction (text) use_case.fin.ap_invoice_extraction	finance	11.0%	22.2%	14	Vals Mortgage Tax: overall_accuracy_pct
Filings summarization (10-K/10-Q) use_case.fin.filings_summarization	finance	11.0%	21.0%	14	Vectara HHEM Leaderboard: overall_hallucination_error_pct

Deployment Fit Calculator

Model

Llama-4-Scout-17B-16E-Instruct

external/meta/llama-4-scout-17b-16e-instruct

Hardware

Quantization: 4-bit

2-bit8-bit

Insufficient

Unknown parameter count. Cannot estimate deployment fit.

Required VRAM

~0.0GB

Est. Throughput

0.00 tok/s

Deployment Fit Matrix

GPU	4-bit	6-bit	8-bit
RTX 3060 12GB	Insufficient	Insufficient	Insufficient
RTX 3090 24GB	Insufficient	Insufficient	Insufficient
RTX 4090 24GB	Insufficient	Insufficient	Insufficient
Mac Studio M2 Ultra 192GB	Insufficient	Insufficient	Insufficient