Sage-A1.5-Q4_K_M-GGUF:latest

qwen35moe · 35.5B · Q4_K_M

Micro-Star International Co., Ltd. MS-7E51 (AMD Ryzen 7 9700X 8-Core Processor)

31 GB · Microsoft Windows 11 Pro 10.0.26300

Tested on October 23, 2026

Top 21% Compare

Global Score

86 /100

Excellent

Hardware Fit

86/100

Quality

86/100

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Ollama

ollama pull Sage-A1.5-Q4_K_M-GGUF:latest

View on Ollama Library

ollama.com/library/Sage-A1.5-Q4_K_M-GGUF

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GGUF versions & quantizations

Hardware

Machine: Micro-Star International Co., Ltd. MS-7E51
CPU: AMD Ryzen 7 9700X 8-Core Processor
Cores: 16 total (16 perf)
Frequency: 3.8 GHz
RAM: 31 GB DDR5
GPU: NVIDIA GeForce RTX 5080, AMD Radeon(TM) Graphics
OS: Microsoft Windows 11 Pro 10.0.26300
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 75.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 168 ms
Time to first token How fast the model starts responding — lower is better: 168 ms
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 21.4 GB (69%)
Total tokens Total number of tokens generated across all benchmark prompts: 990

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

16/30

Quality

Reasoning

16/20

Coding

18/20

Instruction following

16/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.40.9
Model format: GGUF
Hardware profile: BALANCED
Result hash: 816e88e5e223504503319d7c2edbd5f78d4122a377250fc49be3adcc0be20226

Interpretation

Hardware fit: 86/100. Overall suitability: EXCELLENT (Global 86/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 50% (peak 58%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest