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stablelm-2-zephyr-1.6b

LM-STUDIO GGUF

stablelm · 1.6B · Q4_K_M

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

Global Score
35 vs 78
Hardware Fit
61 vs 100
Quality Score
24 vs 68

Hardware

stablelm-2-zephyr-… lfm2-24b-a2b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

stablelm-2-zephyr-… lfm2-24b-a2b
Tokens/sec6.5105.9
First chunk3080 ms252 ms
TTFT3.1 s252 ms
Load timeN/AN/A
Memory usage1.0 GB0.1 GB
Memory %6%0%

HW Fit Score Breakdown

stablelm-2-zephyr-1.6b

Speed
23/50
TTFT
16/20
Memory
22/30

lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

stablelm-2-zephyr-1.6b

Reasoning
2/20
Coding
2/20
Instruction
8/20
Structured
6/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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