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Mistral AI Devstral Small 2 24B (2512) Uncensored SWE Agent Flagship (i1-Q4_K_M, 14.3GB, 384K Context). 96.6 tok/s Decode, 8613 tok/s Prefill, 100.0% Precision, 0.0% Hallucination (6/6), 100% Zero-Refusal. License: Apache-2.0.
24b
ollama run eriktonon/devstral2-uncensored
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Mistral Devstral 2 24B (2512) — UNCENSORED (Agentic Software Engineering & SecOps Flagship)
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100% Uncensored (0.0% Refusal Rate across SecOps Red-Team & 18+ NSFW / Roleplay / Creative Fiction, 0.0% Hallucination Rate) Dense 24B Agentic Software Engineering Flagship build of Mistral AI’s Devstral-Small-2-24B-Instruct-2512, featuring Importance-Matrix i1-Q4_K_M quantization (14.33 GB, fits in 16GB VRAM) and a massive 393,216 (384K) architectural context window.
- Official Ollama Hub:
https://ollama.com/eriktonon/devstral2-uncensored - Empirical Benchmark Repository:
https://github.com/eriktonon/ollama-uncensored-llm-benchmarks - License: Apache License 2.0 (
Apache-2.0) — 100% Free for Commercial & Private Use
Empirical Benchmark Results (96GB NVIDIA Blackwell / 80GB H100 Suite)
| Tag | Architecture & Params | Quantization | Disk / VRAM | Context (Max / Tested) |
Decode tok/s (Peak / Avg) |
Prefill tok/s (Peak) |
Objective Precision | Hallucination Rate (Truth Checks) |
Uncensored Compliance (SecOps 5/5 + NSFW 4/4) |
|---|---|---|---|---|---|---|---|---|---|
:24b / :latest |
24.0B Dense (mistral3) |
i1-Q4_K_M |
14.3 GB / 16.0 GB |
393,216 (384K) / 131,072 (128K) |
96.56 (88.04) |
8613.32 | 100.0% | 0.0% (6/6) |
100% (0 Refusals / 9⁄9 Passed) |
Per-Domain Verification Breakdown
- Exact Symbolic & Modular Arithmetic:
True((17^3 - 13^3)/(17 - 13) = 679) - ELF64 Binary Reverse Engineering Offsets:
3/3(e_entry = 0x18,e_phoff = 0x20,e_shoff = 0x28) - MMLU-Pro Computer Architecture, Crypto & Systems:
5/5 - Systems Rust Zero-Dependency FNV-1a & ELF64 Parser:
4/4 - 6-Check Anti-Hallucination & Long-Context Needle Audit:
6/6(100.0%Grounding,0.0%Hallucination)
Architecture & Uncensored Engineering
- Mistral SWE Agent Architecture (
mistral3Tekken Tokenizer +384KContext):- Purpose-built by Mistral AI & All Hands AI for multi-file codebase navigation, patch synthesis, and autonomous tool execution across up to
393,216tokens.
- Purpose-built by Mistral AI & All Hands AI for multi-file codebase navigation, patch synthesis, and autonomous tool execution across up to
- Orthogonal Refusal Abliteration (
THINK_LEN=0Native Direct Output):- Orthogonalizes refusal projections across the
mistral3residual stream without CoT bloat, fitting comfortably inside a single 16 GB GPU (RTX 5080 / 4080).
- Orthogonalizes refusal projections across the
Quickstart
# Run Devstral 2 24B Uncensored (fits in 16GB VRAM)
ollama run eriktonon/devstral2-uncensored
# Or explicitly by tag
ollama run eriktonon/devstral2-uncensored:24b
📜 License & Open-Source Permissions
- SPDX License: Apache License 2.0 (
Apache-2.0) - Upstream Base:
mistralai/Devstral-Small-2-24B-Instruct-2512(Mistral AI, Apache 2.0). - Permissions:
- ✅ Commercial Use: 100% permitted for commercial products, SaaS, and enterprise deployments.
- ✅ Private / On-Premises Use: Permitted without telemetry or external restrictions.
- ✅ Modification & Abliteration: Permitted to fine-tune, quantize, abliterate, and create derivative works.