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nvidia-nemotron-3-nano-4b

LM-STUDIO GGUF

nemotron_h · 4B · Q4_K_M

Excellent

Oct 24, 2026 · Intel Core™ i3-9100F

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
83 vs 77
Hardware Fit
100 vs 100
Quality Score
75 vs 67

Hardware

nvidia-nemotron-3-… mlx-community/meta…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0Mac mini
CPUIntel Core™ i3-9100FApple M4 Pro
Cores414
RAM16 GB64 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M4 Pro
OSМайкрософт Windows 10 Pro 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

nvidia-nemotron-3-… mlx-community/meta…
Tokens/sec28.954.3
First chunk22 ms277 ms
TTFT580 ms277 ms
Load timeN/AN/A
Memory usage3.8 GB4.2 GB
Memory %24%7%

HW Fit Score Breakdown

nvidia-nemotron-3-nano-4b

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

mlx-community/meta-llam…

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

Quality

nvidia-nemotron-3-nano-4b

Reasoning
15/20
Coding
12/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View nvidia-nemotron-3-… details | View mlx-community/meta… 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