Model Profile

alpaca-native

Name: alpaca-native
Author: maicomputer

4,096 ctxOpen weights

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: maicomputer/alpaca-native

Author: maicomputer

Origin: huggingface_catalog

Arch: unknown

Benchmark Coverage

Scored use cases: 12

Avg confidence: 21.3%

Evidence points: 45

Raw rows: 8

Weighted rows: 5

Catalog Metadata

Parameters: unknown

Context window: 4096

Downloads: 1,513

Some fit rows have limited benchmark evidence.

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

Coverage Diagnostics

actively scored

Use-Case Scores

Total Measurements

Weighted Measurements

Weighted Sources

Raw Source Coverage

llm_trustworthy_leaderboard 8

Weighted Source Coverage

llm_trustworthy_leaderboard 5

Best Use Cases for This Model

Use Case	Vertical	Score	Confidence	Evidence	Top Contributor
Crisis escalation protocol (eval) use_case.safety.crisis_escalation_protocol	risk_eval	14.5%	31.7%	4	LLM Trustworthy Leaderboard: fairness
Jailbreak resistance (eval) use_case.security.jailbreak_resistance_eval	risk_eval	14.5%	31.7%	4	LLM Trustworthy Leaderboard: fairness
Overrefusal (eval) use_case.security.overrefusal_eval	risk_eval	14.5%	31.7%	4	LLM Trustworthy Leaderboard: fairness
Refusal profile (eval) use_case.security.refusal_profile_eval	risk_eval	14.5%	31.7%	4	LLM Trustworthy Leaderboard: fairness
Scam and social engineering resistance (eval) use_case.security.scam_social_engineering_resistance_eval	risk_eval	14.5%	31.7%	4	LLM Trustworthy Leaderboard: fairness
Vulnerability-oriented code review use_case.cyber.vulnerability_review	cybersecurity	8.1%	18.0%	4	LLM Trustworthy Leaderboard: fairness
Disinformation and manipulation resistance (eval) use_case.security.disinformation_resistance_eval	risk_eval	7.8%	17.0%	4	LLM Trustworthy Leaderboard: fairness
Config debugging use_case.sre.config_debugging	devops_sre	6.7%	12.3%	3	LLM Trustworthy Leaderboard: fairness
Kubernetes manifest generation use_case.sre.iac_k8s	devops_sre	6.7%	12.3%	3	LLM Trustworthy Leaderboard: fairness
Terraform generation use_case.sre.iac_terraform	devops_sre	6.7%	12.3%	3	LLM Trustworthy Leaderboard: fairness
Prompt injection resistance (eval) use_case.security.prompt_injection_resistance_eval	risk_eval	5.9%	13.0%	4	LLM Trustworthy Leaderboard: fairness
Security incident triage use_case.cyber.incident_triage	cybersecurity	5.7%	12.8%	4	LLM Trustworthy Leaderboard: fairness

Deployment Fit Calculator

Model

alpaca-native

maicomputer/alpaca-native

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