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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score
40 vs 84
Hardware Fit
89 vs 100
Quality Score
19 vs 77

Hardware

qwen3-0.6b nvidia/nemotron-3-…
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-0.6b nvidia/nemotron-3-…
Tokens/sec14.447.9
First chunk854 ms465 ms
TTFT854 ms465 ms
Load timeN/AN/A
Memory usage0.5 GB16.6 GB
Memory %3%52%

HW Fit Score Breakdown

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

nvidia/nemotron-3-nano

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

Quality

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate

nvidia/nemotron-3-nano

Reasoning
13/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3-0.6b details | View nvidia/nemotron-3-… details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest