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

hf download JetBrains/Mellum2-12B-A2.5B-Instruct-GGUF-MXFP4_MOE Mellum2-12B-A2.5B-Instruct-MXFP4_MOE.gguf --local-dir .

Run with llama.cpp

# Pull and serve in one step (downloads the GGUF automatically)
llama-server -hf JetBrains/Mellum2-12B-A2.5B-Instruct-GGUF-MXFP4_MOE \
  --ctx-size 131072 \
  --temp 0.6 --top-p 0.95 --top-k 20

# Or run a one-off prompt with a local file
llama-cli -m Mellum2-12B-A2.5B-Instruct-MXFP4_MOE.gguf \
  --ctx-size 131072 \
  --temp 0.6 --top-p 0.95 --top-k 20 \
  -p "Write a Python function to reverse a string."

The server exposes an OpenAI-compatible API on http://localhost:8080/v1:

from openai import OpenAI

client = OpenAI(base_url="http://localhost:8080/v1", api_key="llama.cpp")

chat_response = client.chat.completions.create(
    model="JetBrains/Mellum2-12B-A2.5B-Instruct-GGUF-MXFP4_MOE",
    messages=[
        {"role": "user", "content": "Write a Python function to reverse a string."},
    ],
    max_tokens=81920,
    temperature=0.6,
    top_p=0.95,
    extra_body={"top_k": 20},
)
print(chat_response.choices[0].message.content)

Run with Ollama

ollama run hf.co/JetBrains/Mellum2-12B-A2.5B-Instruct-GGUF-MXFP4_MOE

License

Released under the Apache 2.0 license.

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For the full model card, evaluation results, and architecture details, refer to the original model: JetBrains/Mellum2-12B-A2.5B-Instruct.