Mellum2 Instruct — GGUF (Q8_0)
This repository contains a GGUF Q8_0 quantization of
JetBrains/Mellum2-12B-A2.5B-Instruct, ready to run with
llama.cpp, Ollama, LM Studio, and
other GGUF-compatible runtimes.
This quantization (Q8_0): 8-bit. Effectively lossless — KL divergence from BF16 is ~0.016 and it keeps BF16's top token 95% of the time.
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.