nvidia-nemotron-3.5-bolt-74b-a9b-24gb
nvidia-nemotron-3.5-bolt-74b-a9b-24gb is Image-Text-to-Text model with 22B parameters, built with Transformers. Download, explore files and run it on Hugging Face.. It is ranked #7731 on the AI Radar, in Open & local models, first seen 22 days ago and shared in 7 posts (35.2k views).
nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB · Hugging Face Hugging Face Log In Sign Up ","eos_token":"<|im_end|>","pad_token":"<|im_end|>","unk_token":"<unk>"},"chat_template_jinja":"{% macro render_extra_keys(json_dict, handled_keys) %}\n {%- if json_dict is mapping %}\n {%- for json_key in json_dict if json_key not in handled_keys %}\n {%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}\n {{- '\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}\n {%- else %}\n {{-'\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key…
What people said about nvidia-nemotron-3.5-bolt-74b-a9b-24gb on X
你以为本地只能跑点玩具模型？现在 8GB 显存的老卡能跑 27B，一台 128GB 的 Mini pc 能跑开源前十的模型。 我按所需显存从小到大总结了 10 个，每一档只留最能打的，对号入座就行。分数用 Artificial Analysis 的智能指数（下面简称 AA 分），开源第一目前是 46.3 分，体积写的是量化后的权重文件，实际跑起来还要给上下文留出余量。 1、Ternary Bonsai 2 27B（8GB 显存） 把 Qwen3.8-27B 的主体权重压成 -1、0、+1 三个值，54GB 的模型缩到 5.95GB。官方跑了 14 项基准，保住原版 98% 的分数，同样压到 2 比特的常规量化只剩 84%。要用…
— @Ryrenz, 12 days ago · 8 likes · see the post
Alternatives to nvidia-nemotron-3.5-bolt-74b-a9b-24gb
- kimi-k3.1-pro — Releasing the model weights of Kimi K3.1 Pro
- niklaslenz.com — Play the world in your browser. Every number, the exact command and the raw output
- unsloth.ai — Guide to running Mistral Large 4 GGUFs locally with Unsloth and llama.cpp.
- project-maya — Plus a round of fixes, UI improvements and community PRs.
- twil-8b — Text Generation model with 9B parameters. Download, explore files and run it on Hugging Face.
- qwen3.8-flash-next-gguf — Image-Text-to-Text model with 177B parameters. Download, explore files and run it on Hugging Face.
nvidia-nemotron-3.5-bolt-74b-a9b-24gb in numbers
- Rank on the AI Radar: #7731 of 10402
- Shared in 7 posts by 6 accounts: @Ryrenz
- 35.2k views on those posts
- First seen 22 days ago, last shared 12 days ago
- Pricing seen by AGK Intelligence: open source
- Market: Open & local models
FAQ
What is nvidia-nemotron-3.5-bolt-74b-a9b-24gb?
Image-Text-to-Text model with 22B parameters, built with Transformers. Download, explore files and run it on Hugging Face. It was first shared on X 22 days ago and is ranked #7731 on the AI Radar.
Is nvidia-nemotron-3.5-bolt-74b-a9b-24gb free?
It is open source.
Who shared nvidia-nemotron-3.5-bolt-74b-a9b-24gb?
6 accounts on X, including @Ryrenz, in 7 posts totalling 35.2k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.