glm-4.7-flash:latest

glm4moelite · 29.9B · Q4_K_M

THINKING MODEL

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 22, 2026

Top 8% Compare

Global Score

86 /100

Not Rec.

Hardware Fit

74/100

Quality

91/100

Get this model

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Ollama

ollama pull glm-4.7-flash:latest

View on Ollama Library

ollama.com/library/glm-4.7-flash

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Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: Radeon 8060S
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 47.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 194 ms
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 7.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 37.7 GB (30%)
Total tokens Total number of tokens generated across all benchmark prompts: 1404
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~807

Score breakdown

Speed

44/50

Time to first token

0/20

Memory

30/30

Quality

Reasoning

19/20

Coding

17/20

Instruction following

15/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: b641c726549778aaeede13818907589fe8d2432d4b260b59ea734cac9ce71385

Interpretation

Hardware fit: 74/100. Overall suitability: NOT RECOMMENDED (Global 86/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

CPU appears throttled (2.4 GHz current vs 3.0 GHz nominal, 79%).

Disqualifiers

Time to first token too high: 30000ms (maximum: 10000ms for HIGH-END profile)

Bench Environment

Thermal: nominal CPU load: avg 3% (peak 4%)

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