Mellum2 Thinking β GGUF (Q4_K_M)
This repository contains a GGUF Q4_K_M quantization of
JetBrains/Mellum2-12B-A2.5B-Thinking, ready to run with
llama.cpp, Ollama, LM Studio, and
other GGUF-compatible runtimes.
This quantization (Q4_K_M): 4-bit k-quant (medium). Strong quality/size trade-off (KLD ~0.052, 90% top-token agreement) β a good default.
Mellum 2 Thinking is a Mixture-of-Experts reasoning model (64 experts, 8
activated per token, 131,072-token context) that emits its chain of thought
inside <think>...</think> blocks before the final answer. For the full model
description, evaluation results, and architecture details, see the original
model card: JetBrains/Mellum2-12B-A2.5B-Thinking.
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.
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-Thinking.