ornith-1.5-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
86 vs 76
Hardware Fit
92 vs 100
Quality Score
84 vs 66
Hardware
ornith-1.5-35b-a3b hf.co/empero-ai/Qw…
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
ornith-1.5-35b-a3b hf.co/empero-ai/Qw…
Tokens/sec57.440.3
First chunk20 ms101 ms
TTFT367 ms101 ms
Load time51.1 s2.7 s
Memory usage66.6 GB4.5 GB
Memory %56%28%
HW Fit Score Breakdown
ornith-1.5-35b-a3b
Speed
50/50
TTFT
20/20
Memory
22/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
ornith-1.5-35b-a3b
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest