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llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
73 vs 66
Hardware Fit
51 vs 100
Quality Score
83 vs 52

Hardware

llama3.3:70b hf.co/empero-ai/Qw…
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M4
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.6.1
Archarm64arm64
Power Modeperformancebalanced

Performance

llama3.3:70b hf.co/empero-ai/Qw…
Tokens/sec4.626.5
First chunk560 ms447 ms
TTFT560 ms447 ms
Load time13.8 s3.3 s
Memory usage49.5 GB4.8 GB
Memory %41%30%

HW Fit Score Breakdown

llama3.3:70b

Speed
4/50
TTFT
20/20
Memory
27/30

hf.co/empero-ai/Qwen3.8…

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

Quality

llama3.3:70b

Reasoning
17/20
Coding
18/20
Instruction
12/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View llama3.3:70b details | View hf.co/empero-ai/Qw… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest