LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3-GGUF

模型介绍

> [!NOTE] > **Flagship DuoNeural In-House Architecture Release** > Directional Abliteration & Alignment removal executed by **Archon**. Post-training, dataset synthesis, and G-TAP v3 Cavity Conditioning by **Aura ✨ & Jesse Caldwell** (**DuoNeural Research Lab**). **DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v3** is DuoNeural's flagship open-weights coding agent model: * **Topology:** 24 layers of hybrid double-gated short convolutions with Sparse Mixture-of-Experts routing (`Lfm2MoeForCausalLM`). * **Dimensionality:** Hidden dimension $d_{\text{model}} = 2048$, 128,000 vocabulary. * **Abliteration Profile:** Directional orthogonal projection removing refusal boundaries across safety subspaces while strictly preserving syntax, logic, and tool schema adherence. * **G-TAP v3 Onsager Damping:** Subtracts non-equilibrium cavity fields from MoE expert routing and FIR convolution buffers, eliminating the degradation typical of sub-3-bit MoE quantization. *Benchmarked on NVIDIA GeForce RTX 4080 Super (32GB VRAM) across continuous 131k holdout perplexity, 25 GSM8K multi-step math problems, 15 Python AST code problems, and 15 Hermes structured tool calling scenarios.*

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

常见问题

资料来源与可追溯记录

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。