vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score

59 vs 81

Hardware Fit

97 vs 89

Quality Score

43 vs 77

Hardware

vicuna:7b glm-4.7-flash:q4_K_M

MachineMacBook AirASUS

CPUApple M4Intel Core™ i5-14600KF

Cores1020

RAM32 GB32 GB

GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER

OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

vicuna:7b glm-4.7-flash:q4_K_M

Tokens/sec23.435.1

First chunkN/A440 ms

TTFT242 ms440 ms

Load time0.4 s11.6 s

Memory usage5.8 GB18.4 GB

Memory %18%58%

HW Fit Score Breakdown

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

glm-4.7-flash:q4_K_M

Speed

49/50

TTFT

20/20

Memory

20/30

Quality

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

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

glm-4.7-flash:q4_K_M

Reasoning

13/20

Coding

17/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

10/10

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

View vicuna:7b details | View glm-4.7-flash:q4_K_M details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest