willitrun·ai

Upstage

Solar Open 2 250B

前沿
2.8K下载量546点赞Jul 2026发布日期1.0M tokens上下文Upstage Solar许可证88 优秀质量

Solar Open 2 250B (250.3000030517578B parameters) requires approximately 154.9 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 15B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 179 GB of VRAM.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run Solar Open 2 250B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "upstage/Solar-Open2-250B" \ --hf-file "Solar-Open2-250B-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters250.3B (15B active)
Architecturemoe (MoE)
Context1.0M tokens
Modalitytext
Min RAM97.6 GB
Rec. RAM152.7 GB (Q4_K_M)
LicenseUpstage Solar
FamilySolar
Code Reasoning

About this model

Solar Open 2 is Upstage's 250B-A15B open-weight Hybrid-Attention Mixture-of-Experts model, built for agentic work such as office productivity, document-heavy tasks and coding. It interleaves three linear-attention layers with one softmax-attention layer, so only 12 of its 48 layers keep a KV cache — holding long-context memory to roughly a quarter of an all-softmax model of the same shape.

  • 250B total / 15B active per token — 320 routed experts plus 1 shared expert, top-8.
  • 1M-token context; linear-attention layers encode order intrinsically, so RoPE is removed entirely (NoPE).
  • Only 12 of 48 layers keep a KV cache — roughly a quarter the long-context memory of an all-softmax model.
  • Purpose-built for agentic workflows: tool calling, multi-step reasoning, end-to-end task execution.
  • Trilingual: English, Korean and Japanese.

相关模型

你的硬件

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最佳硬件

Solar Open 2 250B 的最佳选择

运行此模型

量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q1_0_G128
1.125
36.0 GB
Very Low
Q2_0_G128
1.71
66.8 GB
Low
Q2_K
2
97.6 GB
Low
Q3_K_S
3
122.6 GB
Low
NVFP4
4
140.2 GB
Medium
Q4_K_M
4
152.7 GB
Medium
Q5_K_M
5
180.2 GB
High
Q6_K
6
205.2 GB
High
Q8_0
8
267.8 GB
Very High
F16
16
513.1 GB
Maximum

Quality benchmarks

Solar Open 2 250B benchmark scores

Benchmark verified

Coding

SWE-bench Verified70.4%
HumanEval+
Aider Polyglot
LiveCodeBench92.4%

Reasoning

MMLU-Pro86.2%
GPQA Diamond86.3%
MATH-500
ARC Challenge

Source: official · 2026-07-22

硬件兼容性

全部硬件的适配估算

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Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights152.7 GB
KV Cache0.7 GB
Runtime0.9 GB
Headroom0.6 GB

常见问题

FAQ — Solar Open 2 250B

另请参阅