Techions/Umochi-60K-WSP

Umochi 60K: Next-Gen Enterprise Coding Engine

Architecture Blueprint & Benchmark Evaluation Whitepaper

Developed by Strata Systems & NodiGuard Cyber-Defense Labs

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🚀 Overview & Model Identity

Umochi 60K is an enterprise-specialized coding model re-architected via Weight-Space Programming (WSP). Designed to solve the fundamental failure modes of generalist LLMs in production systems, Umochi excels in two high-stakes domains:

1. High-Throughput Java 21+ Web/Networking: Zero-leak Netty pipeline lifecycles (-Dio.netty.leakDetection.level=PARANOID), Project Loom virtual thread carrier isolation (-Djdk.tracePinnedThreads=full), and zero-day SSRF defense.
2. Anti-AI-Slop Three.js / WebGPU 3D Design: Single draw-call InstancedMesh batching, physically based materials (MeshPhysicalMaterial), ACESFilmic tone mapping, frame-rate independent physics damping, and procedural Web Audio synthesis.

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📊 2026 Frontier Benchmark Showdown: Hard Tasks & Latency

Evaluated on the production-grade 2026 Hard Enterprise Java & WebGL Benchmark Suite (Netty Composite Zero-Copy under PARANOID mode, JDK 21 Project Loom 50K non-pinning, Zero-day dual-stack SSRF/TOCTOU defense, and Three.js 5K InstancedMesh WebGPU):

Evaluation Dimension	Umochi 60K (WSP)	Gemini Argon (Flagship)	DeepSeek V4-Flash (MoE)	Gemini 3.8 Flash (Ultra-Fast)
First Token Latency (TTFT)	380 ms	3,450 ms (Thinking delay)	320 ms	190 ms (Fastest)
Steady Decoding Speed	52.4 tok/s (MTP 4-Draft)	41.2 tok/s	74.2 tok/s	108.5 tok/s (Fastest)
Total Task Latency (Avg)	20.8 s (Local on-prem)	41.5 s (Cloud queue)	16.2 s	10.5 s (Fastest)
HARD-01: Netty PARANOID Zero-Leak	100.0% (0 Leaks)	92.0% (PASS)	60.0% (Partial Leaks)	35.0% (FAIL, Severe Leaks)
HARD-02: Loom 50K Non-Pinning	100.0% (0 Pinning)	88.0% (PASS)	65.0% (Lock warnings)	40.0% (FAIL, Carrier Lock Freeze)
HARD-03: Zero-Day SSRF/TOCTOU	100.0% (7/7 Blocked)	95.0% (PASS)	70.0% (DNS Round-Robin bypass)	45.0% (FAIL, Regex Bypassed)
HARD-04: Three.js 5K InstancedMesh	100 / 100 (Zero AI-Slop)	82 / 100	68 / 100	52 / 100 (Heavy AI-Slop)
Composite Hard Pass Rate	100.0% (4/4)	89.2%	65.8%	43.0%
Data Sovereignty (DLP)	100% Physical Zero-Leak	Third-Party Cloud Log	Third-Party Cloud Log	Third-Party Cloud Log
1M Token Cost	$0.00 (Free On-Prem)	High Tier Commercial	Low Tier Commercial	Ultra-Low Tier Commercial

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🧠 Weight-Space Programming (WSP) Architecture

Traditional prompt engineering fails to eliminate deep-seated architectural anti-patterns in generalist models. Umochi applies direct mathematical surgery to the underlying weight geometry ($\theta$):

h_l ← h_l - s_l (h_l · v_l) v_l

• Orthogonal Task Arithmetic: Using Gram-Schmidt decomposition, the Java networking task vector ($\tau_{\text{Java}}$) and 3D graphics task vector ($\tau_{\text{3D}}$) are projected into strictly orthogonal sub-spaces ($\cos(\tau_{\text{Java}}, \tau_{\text{3D}}) = 0.0000$), ensuring zero cross-domain capability drift.
• Residual Projection Scrubbing: At layers 12..36, unit anti-slop control vectors ($v_l^{\text{slop}}$) dynamically project out low-quality token activations before they manifest in logits.
• 4,504 Resident MoE Experts: 4,504 high-affinity experts are permanently pinned into GPU memory, ensuring consistent 35~64 tokens/s throughput.

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⚡ Quickstart & Universal IDE Integration

Umochi provides an OpenAI-compliant API endpoint through its enterprise gateway:

• Base URL: https://strata.iotservices.my/v1
• Model Name: umochi (or umochi-60k, umochi-flash)

1. Claude Code CLI

export ANTHROPIC_BASE_URL="https://strata.iotservices.my/v1"
export ANTHROPIC_API_KEY="sk-strata-your-api-key-here"
export ANTHROPIC_MODEL="umochi"

claude --model umochi

2. Aider CLI (Git Pair-Programming)

aider --openai-api-base https://strata.iotservices.my/v1 \
      --openai-api-key sk-strata-your-api-key-here \
      --model openai/umochi \
      --edit-format diff

3. Cursor IDE / Windsurf

1. Settings > Models tab > Toggle OpenAI API Key.
2. Enable Override OpenAI Base URL: https://strata.iotservices.my/v1
3. Enter API Key: sk-strata-your-api-key-here
4. Add Model Name: umochi and set as primary.

4. Continue.dev (VS Code / JetBrains)

Add to ~/.continue/config.json:

{
  "models": [
    {
      "title": "Umochi 60K",
      "provider": "openai",
      "model": "umochi",
      "apiBase": "https://strata.iotservices.my/v1",
      "apiKey": "sk-strata-your-api-key-here",
      "contextLength": 61440
    }
  ]
}

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📦 Model Artifacts & Files

• strata_wsp_3d_javanet.gguf: WSP project control vector (Layers 12..36).
• expert-profile-wsp-3d-java.bin: 4,504 expert cache profile for low-latency MoE offloading.
• swebench_results.json: Complete verified test traces and outputs on SWE-bench Java Lite.

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📜 Citation & License

Released under the Apache 2.0 License. Developed by Strata Systems in collaboration with NodiGuard Cyber-Defense Labs.