Note on Thinking/Reasoning Display: The model thinks correctly (generates [THINK]...[/THINK] tags internally), but LM Studio 0.4.17 does not display thinking in a collapsible reasoning section. LM Studio only natively supports DeepSeek-style tags for reasoning display. The model works perfectly via llama-server with --reasoning on flag. This is a known limitation of LM Studio for the Ministral reasoning format.

NVFP4 quantization of mistralai/Ministral-3-8B-Reasoning-2512, an 8B parameter reasoning model from Mistral AI.

About the Model

Ministral 3 8B Reasoning is a dense transformer with 40 layers, 4096 hidden dimension, and 24-layer Pixtral ViT vision encoder. It supports:

Advanced reasoning with chain-of-thought capabilities
Code generation and debugging across multiple languages
Vision understanding via multimodal image input
Tool calling with native function calling support
262K context window with YaRN scaling

Quantization

This GGUF was quantized from Mistral's official BF16 GGUF using llama.cpp (build 537). The BF16 weights were dequantized to F32 during quantization, then quantized to NVFP4 format.

NVFP4 (NVIDIA FP4) uses 4-bit floating point quantization optimized for NVIDIA Blackwell (B-series) GPUs.

Files

File	Size	Description
`ministral-3-8b-reasoning-2512-nvfp4.gguf`	~3.7 GB	NVFP4 quantized model weights
`mmproj-ministral-3-8b-reasoning-2512-f16.gguf`	~693 MB	Vision projector (F16, unquantized)

Usage

llama.cpp

bash

# Server mode with OpenAI-compatible API
llama-server \
  -m ministral-3-8b-reasoning-2512-nvfp4.gguf \
  --mmproj mmproj-ministral-3-8b-reasoning-2512-f16.gguf \
  -ngl 99 \
  --host 0.0.0.0 \
  --port 8080

LM Studio

Download both files from this repository
Load the main GGUF file in LM Studio
Load the mmproj file for vision support
Set GPU offload layers to maximum

Architecture

Parameters: 8B (dense transformer)
Layers: 40
Hidden dimension: 4096
Attention heads: 32 (8 KV heads for GQA)
Vision encoder: 24-layer Pixtral ViT
Context: 262K (YaRN scaled)
Vocabulary: Mistral Tekken tokenizer

Hardware Requirements

Minimum: 6 GB VRAM for text-only
Recommended: 8 GB VRAM for full GPU offload

License

Apache 2.0 — same as the base model.

FreedomAISVR/Ministral-3-8B-Reasoning-2512-NVFP4-GGUF

Ministral 3 8B Reasoning-2512 — NVFP4 GGUF