MODEL PROFILE

Ornith-1.5-35B-A3B-Heretic-MTP-APEX-GGUF

SC117 · Ornith-1.5-35B-A3B-Heretic-MTP-APEX-GGUF

HERETIC 1.4.0 MTP APEX MIT Ornith-1.5-35B-A3B-Heretic-MTP-APEX English | 📖 中文文档 Heretic Trial 62 BF16 merge · replaced MTP head · APEX GGUFs + mmproj 🐦 About this release Ornith-1.5-35B-A3B is DeepReinforce's Qwen3.5 MoE agentic coding model. This experimental derivative merges the selected Heretic 1.4.0 Trial 62 LoRA into BF16 weights. The shipped native MTP head is untrained (initializer-like statistics). It is replaced here with the 19-tensor fused BF16 head from shisa-ai/Ornith-1.5-35B-A3B-MTP-ONLY (Qwen3.6 graft + 12K KL distillation). Refusal-modified models can behave differently from the original; evaluate before deployment. License: MIT. 🧠 Model Details Architecture Qwen3.5 MoE, multimodal Parameters 35B total, 3B active per token · 256 experts, 8 active Layers 40 transformer layers + 1 fused MTP layer (19 tensors, Q8_0 in APEX) Context 262,144 tokens License MIT

Text generationreasoningmultimodallicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 01:50:27
OVERVIEW

Model overview

HERETIC 1.4.0 MTP APEX MIT Ornith-1.5-35B-A3B-Heretic-MTP-APEX English | 📖 中文文档 Heretic Trial 62 BF16 merge · replaced MTP head · APEX GGUFs + mmproj 🐦 About this release Ornith-1.5-35B-A3B is DeepReinforce's Qwen3.5 MoE agentic coding model. This experimental derivative merges the selected Heretic 1.4.0 Trial 62 LoRA into BF16 weights. The shipped native MTP head is untrained (initializer-like statistics). It is replaced here with the 19-tensor fused BF16 head from shisa-ai/Ornith-1.5-35B-A3B-MTP-ONLY (Qwen3.6 graft + 12K KL distillation). Refusal-modified models can behave differently from the original; evaluate before deployment. License: MIT. 🧠 Model Details Architecture Qwen3.5 MoE, multimodal Parameters 35B total, 3B active per token · 256 experts, 8 active Layers 40 transformer layers + 1 fused MTP layer (19 tensors, Q8_0 in APEX) Context 262,144 tokens License MIT

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:mit。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。