Gemma 4 31B It F32 GGUF
> Gemma-4-31B-it from Google is the flagship dense model in the Gemma 4 family, featuring 31 billion parameters optimized for workstation/server deployment with a massive 256K context window, support for text, images...
Source du modèle
- Type
- Other
- Taille du fichier
- 772 MB–114 GB
- Modèle de base
- google/gemma-4-31B-it
- Version
- vRevision 47f81db
- Mis à jour
- 15 oct. 2026
- Téléchargements
- 56
- Source
- Hugging Face
Description de la source
gemma-4-31B-it-F32-GGUF
Gemma-4-31B-it from Google is the flagship dense model in the Gemma 4 family, featuring 31 billion parameters optimized for workstation/server deployment with a massive 256K context window, support for text, images (variable aspect ratios/resolutions), and advanced agentic capabilities including step-by-step thinking modes, multilingual OCR/handwriting recognition, document/PDF parsing, UI/screen analysis, chart comprehension, and precise object detection with pointing. Designed to bridge edge and cloud performance, the instruction-tuned variant delivers frontier-level reasoning rivaling proprietary models 5-10x larger across coding, math, multilingual tasks (140+ languages), and multimodal workflows while maintaining Google's production-grade safety alignments for enterprise use. With Apache 2.0 licensing and optimizations for NVIDIA/AMD GPUs via vLLM/llama.cpp, it powers high-quality local inference on consumer hardware for autonomous agents, function calling, structured data extraction, and complex planning without cloud dependency—positioned above efficient MoE siblings for maximum output quality in reasoning-heavy applications.
Quick start with llama.cpp
llama-server -hf prithivMLmods/gemma-4-31B-it-F32-GGUF:F32
Model Files
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| gemma-4-31B-it.BF16.gguf | BF16 | 61.4 GB | Download |
| gemma-4-31B-it.F16.gguf | F16 | 61.4 GB | Download |
| gemma-4-31B-it.F32.gguf | F32 | 123 GB | Download |
| gemma-4-31B-it.Q8_0.gguf | Q8_0 | 32.6 GB | Download |
| gemma-4-31B-it.mmproj-bf16.gguf | mmproj-bf16 | 1.2 GB | Download |
| gemma-4-31B-it.mmproj-f16.gguf | mmproj-f16 | 1.2 GB | Download |
| gemma-4-31B-it.mmproj-f32.gguf | mmproj-f32 | 2.3 GB | Download |
| gemma-4-31B-it.mmproj-q8_0.gguf | mmproj-q8_0 | 810 MB | Download |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
Sources
1 source
Sources
1 sourceVérifié 28 août
Artefacts du modèle
8 artefacts
Artefacts du modèle
8 artefactsGGUF/gemma-4-31B-it.mmproj-bf16.gguf
gguf · 1,12 GB · SHA-256 21487ff26d08…2e4e · Hugging Face
TéléchargerGGUF/gemma-4-31B-it.mmproj-f16.gguf
gguf · 1,12 GB · SHA-256 21487ff26d08…2e4e · Hugging Face
TéléchargerGGUF/gemma-4-31B-it.mmproj-f32.gguf
gguf · 2,14 GB · SHA-256 30d99d916d86…97ef · Hugging Face
TéléchargerGGUF/gemma-4-31B-it.mmproj-q8_0.gguf
gguf · 772 MB · SHA-256 a52482cc25c9…c73c · Hugging Face
TéléchargerExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: apache-2.0 language: - en base_model: - google/gemma-4-31B-it pipeline_tag: image-text-to-text library_name: transformers tags: - text-generation-inference - llama.cpp --- # **gemma-4-31B-it-F32-GGUF** > Gemma-4-31B-it from Google is the flagship dense model in the Gemma 4 family, featuring 31 billion parameters optimized for workstation/server deployment with a massive 256K context window, support for text, images (variable aspect ratios/resolutions), and advanced agentic capabilities including step-by-step thinking modes, multilingual OCR/handwriting recognition, document/PDF parsing, UI/screen analysis, chart comprehension, and precise object detection with pointing. Designed to bridge edge and cloud performance, the instruction-tuned variant delivers frontier-level reasoning rivaling proprietary models 5-10x larger across coding, math, multilingual tasks (140+ languages), and multimodal workflows while maintaining Google's production-grade safety alignments for enterprise use. With Apache 2.0 licensing and optimizations for NVIDIA/AMD GPUs via vLLM/llama.cpp, it powers high-quality local inference on consumer hardware for autonomous agents, function calling, structured data extraction, and complex planning without cloud dependency—positioned above efficient MoE siblings for maximum output quality in reasoning-heavy applications. ## Quick start with llama.cpp ``` llama-server -hf prithivMLmods/gemma-4-31B-it-F32-GGUF:F32 ``` ## Model Files File Name | Quant Type | File Size | File Link | | - | - | - | - | | gemma-4-31B-it.BF16.gguf | BF16 | 61.4 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-31B-it-F32-GGUF/blob/main/GGUF/gemma-4-31B-it.BF16.gguf) | | gemma-4-31B-it.F16.gguf | F16 | 61.4 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-31B-it-F32-GGUF/blob/main/GGUF/gemma-4-31B-it.F16.gguf) | | gemma-4-31B-it.F32.gguf | F32 | 123 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-31B-it-F32-GGUF/blob/main/GGUF/gemma-4-31B-it.F32.gguf) | | gemma-4-31B-it.Q8_0.gguf | Q8_0 | 32.6 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-31B-it-F32-GGUF/blob/main/GGUF/gemma-4-31B-it.Q8_0.gguf) | | gemma-4-31B-it.mmproj-bf16.gguf | mmproj-bf16 | 1.2 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-31B-it-F32-GGUF/blob/main/GGUF/gemma-4-31B-it.mmproj-bf16.gguf) | | gemma-4-31B-it.m...
Source context: 56 downloads · 1 likes · Pipeline image-text-to-text · Library transformers · Repo lilux99/gemma-4-31B-it-F32-GGUF
