deepseek-r1:70b
OLLAMA GGUFllama · 70.6B · Q4_K_M
Jun 27, 2026 · Cortex-X925
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
47 vs 66
Hardware Fit
51 vs 100
Quality Score
45 vs 52
Hardware
deepseek-r1:70b 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
deepseek-r1:70b hf.co/empero-ai/Qw…
Tokens/sec4.726.5
First chunk557 ms447 ms
TTFT557 ms447 ms
Load time52.6 s3.3 s
Memory usage49.5 GB4.8 GB
Memory %41%30%
HW Fit Score Breakdown
deepseek-r1:70b
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
deepseek-r1:70b
Reasoning
3/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
10/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest