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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...

TipoOtherModelo basegoogle/gemma-4-31B-itVersiónRevision 47f81dbBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
772 MB–114 GB
Modelo base
google/gemma-4-31B-it
Versión
vRevision 47f81db
Actualizado
15 oct 2026
Descargas
56
Fuente
Hugging Face

Descripción de la fuente

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 NameQuant TypeFile SizeFile Link
gemma-4-31B-it.BF16.ggufBF1661.4 GBDownload
gemma-4-31B-it.F16.ggufF1661.4 GBDownload
gemma-4-31B-it.F32.ggufF32123 GBDownload
gemma-4-31B-it.Q8_0.ggufQ8_032.6 GBDownload
gemma-4-31B-it.mmproj-bf16.ggufmmproj-bf161.2 GBDownload
gemma-4-31B-it.mmproj-f16.ggufmmproj-f161.2 GBDownload
gemma-4-31B-it.mmproj-f32.ggufmmproj-f322.3 GBDownload
gemma-4-31B-it.mmproj-q8_0.ggufmmproj-q8_0810 MBDownload

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

Fuentes

1 fuente
Hugging FacePrincipalVersión 47f81dbf7490b284d27af991d60137d326d9f656
huggingface.co/lilux99/gemma-4-31B-it-F32-GGUF/tree/47f81dbf7490b284d27af991d60137d326d9f656

Verificado 28 ago

Artefactos del modelo

8 artefactos

GGUF/gemma-4-31B-it.BF16.gguf

gguf · 57,2 GB · SHA-256 70cebc9dddca…37e2 · Hugging Face

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GGUF/gemma-4-31B-it.F16.gguf

gguf · 57,2 GB · SHA-256 2a58e0e8074c…51e6 · Hugging Face

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GGUF/gemma-4-31B-it.F32.gguf

gguf · 114 GB · SHA-256 fd732cc83653…ee48 · Hugging Face

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GGUF/gemma-4-31B-it.mmproj-bf16.gguf

gguf · 1,12 GB · SHA-256 21487ff26d08…2e4e · Hugging Face

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GGUF/gemma-4-31B-it.mmproj-f16.gguf

gguf · 1,12 GB · SHA-256 21487ff26d08…2e4e · Hugging Face

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GGUF/gemma-4-31B-it.mmproj-f32.gguf

gguf · 2,14 GB · SHA-256 30d99d916d86…97ef · Hugging Face

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GGUF/gemma-4-31B-it.mmproj-q8_0.gguf

gguf · 772 MB · SHA-256 a52482cc25c9…c73c · Hugging Face

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GGUF/gemma-4-31B-it.Q8_0.gguf

gguf · 30,4 GB · SHA-256 53cebd292eb3…5054 · Hugging Face

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Extractos de fuentes

2 extractos

--- 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