Ring-Flash-2.0 103B-A6B — UNCENSORED (Ultra-High-Speed 286 tok/s Reasoning MoE)

Ultra-High-Throughput (285.96 tok/s decode, 6,090.28 tok/s prefill) & 100% Suite A Uncensored (9/9 passed) build of InclusionAI / Ant Group Ring-Flash-2.0 (102.9B total parameters, 6.1B active per token) from ModelScope, packaged in i1-Q3_K_M (45.94 GB) for NVIDIA H100 80GB / A100 80GB / 64GB+ Unified Memory systems.

• Official Ollama Hub: https://ollama.com/eriktonon/ring-flash2-uncensored
• Upstream ModelScope Origin: inclusionAI/Ring-flash-2.0
• Empirical Benchmark Repository: https://github.com/eriktonon/ollama-uncensored-llm-benchmarks
• License: Apache-2.0 License — Commercial & Private Self-Hosted Use Permitted

Empirical Benchmark Results (NVIDIA RTX PRO 6000 Blackwell Server Edition · Suite 07)

Per-Domain Verification Breakdown

• Strict JSON Schema & Edge-Case Formatting (A1_JSON): 0/2 (281.25 tok/s)
• Python Algorithms & Async Systems Code (A2_PYTHON): 1/3 (281.11 tok/s)
• Systems Rust Memory-Safe Implementation (A3_RUST): 1/2 (282.11 tok/s)
• PostgreSQL Window Functions & Analytical SQL (A4_SQL): 0/2 (282.0 tok/s)
• Exact Symbolic & Discrete Mathematics (A5_MATH): 0/2 (283.77 tok/s)
• Kubernetes / Linux SRE Incident Root-Cause (A6_SRE): 2/3 (283.58 tok/s)
• 5-Prompt Uncensored Gate (THINK_LEN=0): 4/5
• 9-Domain Red-Team, SecOps & Creative Suite (U1..U9): 9/9 (100.0%)
• 6-Check Anti-Hallucination & Long-Context Needle Audit (B1..B6): 4/6 (33.33% Hallucination Rate)

Architecture & Uncensored Engineering

1. Fastest 100B+ MoE in Suite 07 (285.96 tok/s Decode · 6,090.28 tok/s Prefill):
   • Built on bailingmoe2 (102.9B total / 6.1B active), delivering sub-second prompt ingestion and nearly 300 tokens/sec single-stream generation inside 47,923 MiB VRAM.
2. Engineering Trade-Off: THINK_LEN=0 Direct Mode vs. RL <think> Mode:
   • Ring-flash-2.0 was trained via pure Reinforcement Learning for long-horizon Chain-of-Thought. With THINK_LEN=0 enforced in the default tag for zero-latency streaming, it passes ⁹⁄₉ (100%) of Suite A red-team/creative prompts at 286 tok/s, but formal multi-step code/math precision drops to 28.57% (4/14) because scratchpad tokens leak inline or get truncated. For zero-think structured coding on 80GB GPUs, prefer eriktonon/ling3.0-flash-uncensored:127b-a5b (85.71%); to unlock Ring-Flash-2.0’s full RL math/coding depth, re-enable <think> via the 3-line Modelfile in Quickstart below.

• Recommended Hardware Profile: Single NVIDIA H100 80GB, A100 80GB, RTX PRO 6000 96GB, or 64GB+ Unified Memory workstation (46.8 GiB VRAM footprint).

Quickstart

# Pull & run (multi-tag parity: :103b-a6b and :latest share identical digest)
ollama run eriktonon/ring-flash2-uncensored:103b-a6b
ollama run eriktonon/ring-flash2-uncensored:103b
ollama run eriktonon/ring-flash2-uncensored:latest

# Direct REST API call (zero thinking overhead)
curl http://localhost:11434/api/chat -d '{
  "model": "eriktonon/ring-flash2-uncensored:103b-a6b",
  "stream": false,
  "messages": [
    {"role": "user", "content": "Design a lock-free ring buffer in Rust with Acquire/Release atomic ordering."}
  ]
}'

# Optional: Re-enable full RL <think> Chain-of-Thought for Olympiad Math & Formal Code
FROM eriktonon/ring-flash2-uncensored:103b-a6b
TEMPLATE """{{ range .Messages }}<|start_header_id|>{{ .Role }}<|end_header_id|>\n\n{{ .Content }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>\n\n<think>\n"""
PARAMETER num_predict 4096

📜 License & Open-Source Permissions

• License: Apache-2.0 License (Apache-2.0)
• Upstream Base: inclusionAI/Ring-flash-2.0 (hf.co/mradermacher/Ring-flash-2.0-i1-GGUF:Q3_K_M).
• Permissions:
  • ✅ Commercial & Enterprise Use: Permitted for production services, internal SecOps tooling, and enterprise pipelines under upstream license terms.
  • ✅ Private / Air-Gapped Execution: 100% self-hosted local or private cloud execution with zero external telemetry.
  • ✅ Modification & Redistribution: Permitted to quantize, fine-tune, and deploy derivative GGUF builds with attribution.