Back to leaderboard

hf.co/mradermacher/gemma-4-E4B-GGUF:Q6_K

OLLAMA GGUF

gemma4 · 7.52B · unknown

Marginal

Aug 24, 2026 · Apple M1 Pro

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
41 vs 65
Hardware Fit
100 vs 99
Quality Score
16 vs 51

Hardware

hf.co/mradermacher… smollm2-1.7b-instr…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/mradermacher… smollm2-1.7b-instr…
Tokens/sec34.628.5
First chunk179 ms393 ms
TTFT179 ms393 ms
Load time3.9 sN/A
Memory usage3.9 GB3.2 GB
Memory %25%10%

HW Fit Score Breakdown

hf.co/mradermacher/gemm…

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

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

hf.co/mradermacher/gemm…

Reasoning
5/20
Coding
7/20
Instruction
0/20
Structured
0/15
Math
3/15
Multilingual
1/10
Reasoning: Poor Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View hf.co/mradermacher… details | View smollm2-1.7b-instr… 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