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.

Selected parameters: direction_index=21.66; attention o_proj range 1.55–2.05; MLP down_proj range 1.64–1.84.

Latest result cards: Thinking has 5 retry-penalty points; No Thinking has 16.

llama.cpp (vision + text + MTP acceleration)

This model preserves the native MTP head. To enable MTP speculative decoding, add:

Example:

./llama-server \
-m ./models/Ornith-1.0-35B-Heretic-MTP-APEX-I-Compact.gguf \
--mmproj ./models/mmproj-Ornith-1.0-35B-Heretic-MTP-BF16.gguf \
-ngl 99 \
-c 131072 \
--spec-type draft-mtp \
--spec-draft-n-max 2

The optimal --spec-draft-n-max value depends on hardware and MTP acceptance rate. Without these parameters, the model will work normally but will not use MTP acceleration.

These GGUFs use APEX, an MoE-aware mixed-precision quantization method. It allocates precision according to tensor role and layer position; the MTP layer remains Q8_0 and the matching vision projector remains BF16.