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RUNLOCALAI · v38
Trendyol LLM Asure 12B / on / NVIDIA GeForce RTX 3080 16GB (Mobile)
Fits comfortably

Running Trendyol LLM Asure 12B on NVIDIA GeForce RTX 3080 16GB (Mobile)

NVIDIA GeForce RTX 3080 16GB (Mobile) runs Trendyol LLM Asure 12B comfortably at GGUF_UNKNOWN with 6 GB of headroom for context.

By Fredoline Eruo·Latest benchmark evidence Jun 2, 2026

Model size

11.8B params
Trendyol LLM Asure 12B →

Memory available

16 GB
NVIDIA GeForce RTX 3080 16GB (Mobile) →

Recommended quant

GGUF_UNKNOWN
Highest quality that fits

Quick start with Ollama

1. Install
ollama pull alibayram/Trendyol-LLM-Asure-12B:latest
2. Run
ollama run alibayram/Trendyol-LLM-Asure-12B:latest

Default quant in Ollama is Q4_K_M. To use a different quant, append it: alibayram/Trendyol-LLM-Asure-12B:latest-q5_K_M.

Variants and what fits

QuantizationFile sizeVRAM requiredFits on NVIDIA GeForce RTX 3080 16GB (Mobile)?
GGUF_UNKNOWN7.3 GB10 GB
Yes

Real benchmarks

ToolQuantContexttok/sVRAM usedDateEvidenceExport
—Q4_K_M4,09643.4 tok/s—Jun 2, 2026Measured here
operator: fred-oline
DetailSourceJSON

Frequently asked

Can NVIDIA GeForce RTX 3080 16GB (Mobile) run Trendyol LLM Asure 12B?

NVIDIA GeForce RTX 3080 16GB (Mobile) runs Trendyol LLM Asure 12B comfortably at GGUF_UNKNOWN with 6 GB of headroom for context.

What quantization should I use?

GGUF_UNKNOWN is the highest-quality variant of Trendyol LLM Asure 12B that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.

How fast will it be?

Measured at 43.4 tok/s on this combination in our testing.

See also: Trendyol LLM Asure 12B, NVIDIA GeForce RTX 3080 16GB (Mobile), all benchmarks.

Reviewed by RunLocalAI Editorial. See our editorial policy.