text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
59 vs 18
Hardware Fit
94 vs 59
Quality Score
44 vs 0
Hardware
text-embedding-nom… lfm2-24b-a2b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
text-embedding-nom… lfm2-24b-a2b
Tokens/sec45.36.6
First chunk2440 ms1025 ms
TTFT2.4 s1.0 s
Load timeN/AN/A
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
Quality
text-embedding-nomic-em…
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
lfm2-24b-a2b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest