Mellum2 Instruct — GGUF (MXFP4_MOE)
This repository contains a GGUF MXFP4_MOE quantization of
JetBrains/Mellum2-12B-A2.5B-Instruct, ready to run with
llama.cpp, Ollama, LM Studio, and
other GGUF-compatible runtimes.
This quantization (MXFP4_MOE): MXFP4 microscaling 4-bit applied to the MoE expert tensors. Smallest footprint, with a quality cost (KLD ~0.166, 84% top-token agreement).
Mellum 2 Instruct is a Mixture-of-Experts assistant model (64 experts, 8
activated per token, 131,072-token context) that answers directly, without an
externalized chain of thought. For the full model description, evaluation
results, and architecture details, see the original model card:
JetBrains/Mellum2-12B-A2.5B-Instruct.
Available quantizations
KL divergence and top-token agreement are measured against the BF16 logits on
Wikitext-2 (n_ctx=512); lower KLD / higher agreement means closer to the
unquantized model. (Perplexity is omitted here — it is unreliable for
instruction-tuned models on Wikitext-2, which is out of distribution.)
Download
Run with llama.cpp
The server exposes an OpenAI-compatible API on http://localhost:8080/v1:
Run with Ollama
License
Released under the Apache 2.0 license.
For the full model card, evaluation results, and architecture details, refer to
the original model: JetBrains/Mellum2-12B-A2.5B-Instruct.