[ lib ]// 97 models · 37 labs

Models.

We look at your GPU, pick the best model for the tab you're on, and give you the command. Not what you had in mind? Everything else is below, filtered to what fits. New to this?

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12 results · “large”

granite-4.0-h-small

IBM

Chat

32B-parameter long-context instruct model with improved instruction following and tool calling, finetuned from Granite-4.0-H-Small-Base.

size: 32B
vram: ~21 GB
license: Apache-2.0

88% of a 24 GB card

#chat #instruct #large

seed-oss-36b-instruct

ByteDance Seed

Reasoning

ByteDance Seed open-source LLM for long-context, reasoning and agent tasks, with flexible thinking-budget control and native 512K context.

size: 36B
vram: ~23 GB
license: Apache-2.0

96% of a 24 GB card

#reasoning #large

gpt-oss-120b

OpenAI

Reasoning

OpenAI open-weight MoE reasoning model, 117B parameters with 5.1B active, configurable reasoning effort, MXFP4-trained MoE weights.

size: 117B-A5B
vram: ~64 GB
license: Apache-2.0

2.7× a 24 GB card

#reasoning #moe #large

qwen3-30b-a3b-thinking-2507

Alibaba Qwen

Reasoning

Qwen3-30B-A3B thinking-only update: 30.5B MoE with 3.3B active, deeper reasoning and 256K native context.

size: 30B-A3B
vram: ~20 GB
license: Apache-2.0

83% of a 24 GB card

#reasoning #moe #large

qwen3-30b-a3b-instruct-2507

Alibaba Qwen

Chat

Qwen3-30B-A3B non-thinking update: 30.5B-parameter MoE with 3.3B active, 128 experts and 256K native context.

size: 30B-A3B
vram: ~20 GB
license: Apache-2.0

83% of a 24 GB card

#chat #instruct #moe

qwen3-32b

Alibaba Qwen

Chat

Qwen3 32.8B dense model switching between thinking and non-thinking modes; 32K context, 131K with YaRN, 100+ languages.

size: 32B
vram: ~21 GB
license: Apache-2.0

88% of a 24 GB card

#chat #instruct #large

qwen2.5-vl-32b-instruct

Qwen

Vision

Instruction-tuned 32B Qwen2.5-VL vision-language model for visual understanding, agentic use, long-video comprehension and structured outputs.

size: 32B
vram: ~22 GB
license: Apache-2.0

92% of a 24 GB card

#vision #large

mxbai-embed-large

Mixedbread AI

Embedding

A state-of-the-art large embedding model for English retrieval and semantic search.

size: 335M
vram: ~2 GB
license: Apache-2.0

8% of a 24 GB card

#embedding #rag #search

deepseek-r1-distill-qwen-32b

DeepSeek

Reasoning

Qwen2.5-32B fine-tuned on DeepSeek-R1 reasoning data; card reports it outperforms OpenAI o1-mini across various benchmarks.

size: 32B
vram: ~21 GB
license: MIT

88% of a 24 GB card

#reasoning #large

llama3.3-70b

qwen2.5-coder-32b

Alibaba Qwen

Code

Code-specific instruction-tuned 32B Qwen2.5-Coder model, improved at code generation, code reasoning and code fixing.

size: 32B
vram: ~21 GB
license: Apache-2.0

88% of a 24 GB card

#code #instruct #large

stable-diffusion-3.5

Stability AI

Image

Stable Diffusion 3.5 Large — a powerful 8B text-to-image model with improved typography and photorealism.

size: 8B
vram: ~16 GB
license: Stability AI Community

67% of a 24 GB card

#image #text-to-image #photorealism