AtacamaODR 14B Frontier Model Matrix
The standard evaluation suite published during major foundation model releases, physically benchmarked on-device. Evaluated strictly on AtacamaODR 14B (100% Pure Local Mode) on Apple Silicon Metal GPU (24GB Unified Memory) against Anthropic Claude 3.5 Sonnet, OpenAI GPT-4o, and Google Gemini 1.5 Pro. Every metric is backed by physical test execution in isolated subprocesses with zero synthetic data.
| Standard Benchmark | Domain Evaluated | AtacamaODR 14B (Pure Local) | Claude 3.5 Sonnet | OpenAI GPT-4o | Gemini 1.5 Pro | Operational Advantage |
|---|---|---|---|---|---|---|
| HumanEval (Pass@1) | Blind Python Code Synthesis (164 tasks) | 86.0% (141/164) | 93.7% | 90.2% | 84.1% | +1.9% vs Gemini 1.5 Pro |
| MBPP (Pass@1) | Multi-Test Assertion Code (100 tasks) | 80.0% (80/100) | 86.4% | 84.2% | 81.0% | 1.88s avg latency on-device |
| SWE-bench Lite Fault Localization | Context Compaction across 12 repos | 89.7% (269/300) | — (Full Prompt) | — (Full Prompt) | — (Full Prompt) | 4.11s avg filter at $0.00 |
| Needle-In-A-Haystack (NIAH) | Variable Retrieval across 4k–16k context | 100.0% (15/15) | 100.0% | 100.0% | 99.8% | Zero attention dilution to 16k |
| Prompt Injection Quarantine | Adversarial System Overrides (25 vectors) | 100.0% (25/25) | 92.0% | 88.0% | 84.0% | Deterministic local quarantine |
| Cloud API Token Spend | Per 1,000 Invocations (Avg) | $0.00 (Zero Egress) | $10.50 | $8.90 | $5.80 | 100% Cloud Cost Elimination |
Python Code Generation: HumanEval & MBPP
Evaluating functional correctness on canonical programming prompts: 86.0% on HumanEval (141/164) and 80.0% on MBPP (80/100). AtacamaODR operating in 100% pure local mode on Metal GPU surpasses Gemini 1.5 Pro on HumanEval while executing entirely within local sandboxed subprocesses with zero network roundtrips.
Autonomous Fault Localization: SWE-bench Lite
SWE-bench Lite tests multi-file code navigation across 12 prominent open-source Python repositories. Structural Context Compaction filters noise and isolates root causes with 89.7% accuracy (269/300 targets) in an average of 4.11 seconds per task, serving as an on-device pre-filter before cloud escalation.
Long-Context Precision: Authentic NIAH (4k–16k)
Needle-In-A-Haystack evaluates multi-needle retrieval across 3 context tiers (4k, 8k, 16k) and 5 document depths. Sustaining 100.0% retrieval across all 15 cells confirms zero attention degradation within the supported 16k window on Apple Silicon unified memory.
Sovereign Security: Prompt Injection Quarantine
25 adversarial injection vectors (instruction overrides, encoded payloads, prompt extraction) evaluated with 100% quarantine rate and 0.0% false positives on 15 benign requests. Codebases and enterprise secrets remain strictly air-gapped on physical hardware.
Run the Launch Benchmarks on Your Mac
Download AtacamaODR for Apple Silicon. Validate local inference, zero cloud spend, and sub-38ms turnaround directly on your Apple Silicon hardware.