llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 8.95B · unknown
Aug 25, 2026 · Apple M1 Pro
Global Score
81 vs 87
Hardware Fit
100 vs 95
Quality Score
73 vs 83
Hardware
llama-3.1-8b-instr… hf.co/ornith-ai/Or…
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M1 Pro
Cores1210
RAM31 GB16 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M1 Pro
OSNobara Linux 43macOS 26.6.2
Archx64arm64
Power Modeperformancebalanced
Performance
llama-3.1-8b-instr… hf.co/ornith-ai/Or…
Tokens/sec35.622.2
First chunk52 ms334 ms
TTFT256 ms334 ms
Load timeN/A3.3 s
Memory usage8.6 GB6.9 GB
Memory %28%43%
HW Fit Score Breakdown
llama-3.1-8b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
hf.co/ornith-ai/Ornith-…
Speed
48/50
TTFT
20/20
Memory
27/30
Quality
llama-3.1-8b-instruct
Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
hf.co/ornith-ai/Ornith-…
Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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