[ 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?

sort

your gpu

your browser keeps the card private. Pick the closest below

14 results · “long-context”

qwen3.5

Alibaba Qwen

Chat

Qwen3.5: Qwen's 2026 generation, 2B to 35B-A3B, with a 256K native context and strong coding for a general model.

size: 27B
vram: ~18 GB
license: Apache-2.0

75% of a 24 GB card

#chat #code #reasoning

qwen3-coder-next

Alibaba Qwen

Code

Qwen3-Coder-Next: an 80B MoE with only 3B active, a 256K context, and training aimed at agent harnesses like Claude Code and Cline.

size: 80B-A3B
vram: ~52 GB
license: Apache-2.0

2.2× a 24 GB card

#code #agentic #moe

glm4.7-flash

Z.ai

Code

GLM-4.7-Flash: a 30B-A3B MoE built for agentic coding. Only ~3B parameters active per token, so it runs at small-model speed.

size: 30B-A3B
vram: ~20 GB
license: MIT

83% of a 24 GB card

#code #agentic #moe

devstral2-small

Mistral AI

Code

Devstral Small 2 (24B, 2512): Mistral's second-generation agentic coder, with a 256K context, under Apache-2.0.

size: 24B
vram: ~16 GB
license: Apache-2.0

67% of a 24 GB card

#code #agentic #tools

granite-4-0-h-tiny

IBM

Chat

IBM 7B-parameter (1B active) hybrid long-context instruct model with improved instruction following and tool calling.

size: 7B-A1B
vram: ~6 GB
license: Apache-2.0

25% of a 24 GB card

#chat #instruct #moe

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

qwen3-coder

Alibaba Qwen

Code

Qwen3-Coder 30B-A3B: an agentic coding MoE with 256K context that runs at small-model speed on one GPU.

size: 30B-A3B
vram: ~19 GB
license: Apache-2.0

79% of a 24 GB card

#code #agentic #moe

llama4-scout

mistral-small3.1

Mistral AI

Vision

Mistral Small 3.1 24B: fast general model with image understanding and 128K context, under Apache-2.0.

size: 24B
vram: ~16 GB
license: Apache-2.0

67% of a 24 GB card

#vision #chat #tools

gemma3

Google

Vision

Gemma 3: 1B to 27B, with image understanding from 4B up, 128K context and 140+ languages.

size: 12B
vram: ~9 GB
license: Gemma

38% of a 24 GB card

#vision #chat #multilingual

phi4-mini

Microsoft

Reasoning

Phi-4-mini 3.8B: strong maths and reasoning for its size, 128K context and function calling, under MIT.

size: 3.8B
vram: ~3 GB
license: MIT

13% of a 24 GB card

#small #math #tools

qwen2.5-coder-14b-instruct

Qwen

Code

Instruction-tuned 14B code model with improved code generation, reasoning and fixing, and long-context support up to 128K tokens.

size: 14B
vram: ~10 GB
license: Apache-2.0

42% of a 24 GB card

#code #instruct

deepseek-coder-v2-lite

DeepSeek

Code

DeepSeek-Coder-V2-Lite: a 16B mixture-of-experts coder with a long context. Cheap to run for its size.

size: 16B
vram: ~12 GB
license: DeepSeek License

50% of a 24 GB card

#code #moe #long-context