MODEL PROFILE

Ornith-1.0-35B-Heretic-MTP-APEX-GGUF

SC117 · Ornith-1.0-35B-Heretic-MTP-APEX-GGUF

HERETIC 1.4.0 MTP APEX MIT Ornith-1.0-35B-Heretic-MTP-APEX English | 📖 中文文档 Heretic Trial 63 BF16 merge · compatible MTP head · APEX GGUFs + mmproj 🐦 About this release Ornith-1.0-35B is an agentic coding model from DeepReinforce AI, based on Qwen3.5 MoE. This experimental derivative merges the selected Heretic 1.4.0 Trial 63 LoRA into BF16 weights. It also includes a compatible Qwen3.5 MTP head, a BF16 vision projector, and APEX mixed-precision GGUFs. 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 MTP layer (785 BF16 tensors) Context 262,144 tokens Weights BF16 safetensors, 17 shards; audited LoRA merge License MIT

Text generationreasoningmultimodallicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 20:46:56
OVERVIEW

Model overview

HERETIC 1.4.0 MTP APEX MIT Ornith-1.0-35B-Heretic-MTP-APEX English | 📖 中文文档 Heretic Trial 63 BF16 merge · compatible MTP head · APEX GGUFs + mmproj 🐦 About this release Ornith-1.0-35B is an agentic coding model from DeepReinforce AI, based on Qwen3.5 MoE. This experimental derivative merges the selected Heretic 1.4.0 Trial 63 LoRA into BF16 weights. It also includes a compatible Qwen3.5 MTP head, a BF16 vision projector, and APEX mixed-precision GGUFs. 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 MTP layer (785 BF16 tensors) Context 262,144 tokens Weights BF16 safetensors, 17 shards; audited LoRA merge 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

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。

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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。