The flagship line. Qwen3.5 students are strong general reasoners with native tool calling, and Unsloth's bf16 LoRA path handles their delta-net / Mamba-hybrid layers cleanly on a single card.
adi-qwen3.5-4b-glm5.2-general
Live
General-knowledge student distilled from glm-5.2. 2,068 distilled pairs, bf16 LoRA, quantized to a 2.7 GB q4_k_m GGUF. Reasons and answers like its frontier teacher.
adi-qwen3-8b-glm5.2-general
Planned
The general-knowledge recipe scaled up to an 8B Qwen3 base for more headroom — same glm-5.2 teacher, more student capacity to absorb it.
The coder line. Qwen2.5-Coder is a code-specialized base, distilled from a frontier coding teacher into a compact local model for software tasks and tool use.
A future line built on Google's Gemma 4 base models — a different student family to compare distillation behavior and licensing against the Qwen3 line.
adi-gemma4-*-general
Planned
A general-knowledge build, mirroring the Qwen3 line's recipe. Teacher and size TBD once a specific Gemma 4 base is picked.
A future line built on Meta's Llama 3.2 base models — the most widely-tooled student family, useful for downstream compatibility with the broader llama.cpp / Ollama ecosystem.
adi-llama3.2-*-general
Planned
A general-knowledge build on the Llama 3.2 student base, same distillation pipeline. Teacher and size TBD once a specific base is picked.
A planned line built on NVIDIA's Nemotron base — a compact, efficiency-oriented student family. The nano tier targets tiny footprints that still reason well after distillation.
adi-nemotron-3-nano-4b-glm5.2-general
Planned
First target: nemotron-3-nano:4b distilled from glm-5.2. A 4B general-knowledge student following the same bf16 LoRA → GGUF pipeline as the Qwen3.5 build.
A planned line built on Mistral's Devstral base — an agentic, code-focused student family. The first build distills a frontier teacher's reasoning into a model purpose-built for software tasks and tool use.
adi-devstral-small-2-24b-kimi2.7code-coder
Planned
First target: devstral-small-2:24b distilled from kimi-k2.7-code. A 24B agentic-coding student following the same bf16 LoRA → GGUF pipeline as the Qwen3.5 build.
A planned line built on OpenAI's gpt-oss open-weight models — a mixture-of-experts student family that brings a different architecture (and license) into the distillation lineup alongside the Qwen3 line.
adi-gpt-oss-20b-glm5.2-general
Planned
First target: a gpt-oss:20b student distilled from glm-5.2. A 20B general-knowledge build mirroring the Qwen3 line's recipe.
Each line is a student base family; within it, every model is the same base distilled from a different teacher for a different purpose. The naming scheme makes the lineage readable at a glance — adi-<base>-<size>-<teacher><purpose>.