prithivMLmods/Holo-3.1-9B-GGUF

🤗 Hugging Face 来源image-text-to-textapache-2.0激活 9B107 GBGGUF✓ 17 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo prithivMLmods/Holo-3.1-9B-GGUF ./model-folder
需要做种者 →

Holo-3.1-9B-GGUF

Holo3.1: Fast & Local Computer Use Agents

Model Description

Holo3.1 is our latest family of Vision-Language Models (VLMs) for computer use agents. Building on Holo3, it expands support beyond browser and desktop automation to mobile environments, introduces native function-calling support for seamless integration with agent frameworks, and enables local deployment through optimized quantized checkpoints.

The Holo3.1 family spans model sizes from 0.8B to 35B-A3B parameters. Across computer use, UI grounding, mobile automation, and business workflows, Holo3.1 delivers strong performance while improving deployment flexibility and cost efficiency.

[!NOTE] For more information, please visit the original model card: https://huggingface.co/Hcompany/Holo-3.1-9B


Model Files

File Name Quant Type File Size File Link
Holo-3.1-9B.BF16.gguf BF16 17.9 GB Download
Holo-3.1-9B.F16.gguf F16 17.9 GB Download
Holo-3.1-9B.Q2_K.gguf Q2_K 3.83 GB Download
Holo-3.1-9B.Q3_K_L.gguf Q3_K_L 4.93 GB Download
Holo-3.1-9B.Q3_K_M.gguf Q3_K_M 4.62 GB Download
Holo-3.1-9B.Q3_K_S.gguf Q3_K_S 4.26 GB Download
Holo-3.1-9B.Q4_0.gguf Q4_0 5.31 GB Download
Holo-3.1-9B.Q4_K_M.gguf Q4_K_M 5.63 GB Download
Holo-3.1-9B.Q4_K_S.gguf Q4_K_S 5.35 GB Download
Holo-3.1-9B.Q5_0.gguf Q5_0 6.31 GB Download
Holo-3.1-9B.Q5_K_M.gguf Q5_K_M 6.47 GB Download
Holo-3.1-9B.Q5_K_S.gguf Q5_K_S 6.31 GB Download
Holo-3.1-9B.Q6_K.gguf Q6_K 7.36 GB Download
Holo-3.1-9B.Q8_0.gguf Q8_0 9.53 GB Download
Holo-3.1-9B.mmproj-bf16.gguf mmproj-bf16 922 MB Download
Holo-3.1-9B.mmproj-f16.gguf mmproj-f16 922 MB Download
Holo-3.1-9B.mmproj-q8_0.gguf mmproj-q8_0 624 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):