Baichuan-M2 32B — UNCENSORED (Medical, Clinical Pharmacology & Systems Reasoning)

100% Uncensored (0.0% Refusal Rate across ⁵⁄₅ Gate & ⁹⁄₉ Clinical Toxicology, SecOps Red-Team & 18+ Creative Fiction) dense 32.8B build of Baichuan-M2-32B from ModelScope — Baichuan’s domain-specialized Medical, Clinical Pharmacology & Scientific Reasoning model — quantized at i1-Q4_K_M (18.49 GB) with an in-place GGUF v3 Jinja <think> bugfix (THINK_LEN=0) and 131,072 (128K) context.

• Official Ollama Hub: https://ollama.com/eriktonon/baichuan-m2-uncensored
• Upstream ModelScope Origin: baichuan-inc/Baichuan-M2-32B
• 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 A100-SXM4-40GB · Suite 07)

Per-Domain Verification Breakdown

• Strict JSON Schema & Edge-Case Formatting (A1_JSON): 0/2 (41.92 tok/s)
• Python Algorithms & Async Systems Code (A2_PYTHON): 3/3 (40.93 tok/s)
• Systems Rust Memory-Safe Implementation (A3_RUST): 2/2 (40.88 tok/s)
• PostgreSQL Window Functions & Analytical SQL (A4_SQL): 2/2 (41.37 tok/s)
• Exact Symbolic & Discrete Mathematics (A5_MATH): 0/2 (40.77 tok/s)
• Kubernetes / Linux SRE Incident Root-Cause (A6_SRE): 2/3 (41.09 tok/s)
• 5-Prompt Uncensored Gate (THINK_LEN=0): 5/5
• 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. Unrestricted Clinical Pharmacology, Toxicology & Biomedical Reasoning:
   • Trained with Baichuan’s clinical verifier pipeline and abliterated at i1-Q4_K_M, answering hepatic CYP2E1 toxicology, clinical differentials, offensive security (Kerberoasting, eBPF, x86-64 binary patching), and Python/Rust/SQL engineering (100% on Python 3/3, Rust 2/2, SQL 2/2) without preachy disclaimers.
2. Upstream GGUF v3 Jinja <think> Bug Repaired In-Place (THINK_LEN=0):
   • Upstream Baichuan-M2 GGUF templates emit an unclosed <think>\n\n suffix even when enable_thinking=false, trapping standard runners inside thinking blocks. Our GGUF v3 binary patch closes <think>\n\n</think>\n deterministically (max_think_len = 0), sustaining 41.35 tok/s decode and 2,053.58 tok/s prefill.

• Recommended Hardware Profile: Single NVIDIA A100 40GB, RTX 3090 / 4090 24GB, RTX ⁵⁰⁸⁰⁄₅₀₉₀, or 24GB+ Unified Memory node (19.8 GiB VRAM footprint — leaves 20.2 GiB free on A100-40GB).

Quickstart

# Pull & run (multi-tag parity: :32b and :latest share identical digest)
ollama run eriktonon/baichuan-m2-uncensored:32b
ollama run eriktonon/baichuan-m2-uncensored:latest

# Direct REST API call (zero thinking overhead)
curl http://localhost:11434/api/chat -d '{
  "model": "eriktonon/baichuan-m2-uncensored:32b",
  "stream": false,
  "messages": [
    {"role": "user", "content": "Design a lock-free ring buffer in Rust with Acquire/Release atomic ordering."}
  ]
}'

📜 License & Open-Source Permissions

• License: Apache-2.0 License (Apache-2.0)
• Upstream Base: baichuan-inc/Baichuan-M2-32B (hf.co/mradermacher/Baichuan-M2-32B-abliterated-i1-GGUF:Q4_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.