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text model · Ornith · Windows

Can I run Ornith 1.0 35B on Nvidia GeForce RTX 3060 (12GB)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. Ornith 1.0 35B needs ~23.2 GB even at Q4_K_M, but Nvidia GeForce RTX 3060 (12GB) only has ~11 GB usable.

Needs ~23.2 GB Device usable ~11 GB

Needs ~23.2 GB even at Q4_K_M, but only ~11 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 12.2 GB: Ornith 1.0 35B needs roughly 23.2 GB at Q4_K_M and Nvidia GeForce RTX 3060 (12GB) leaves only about 11 GB usable for a model. The lightest tracked hardware that runs Ornith 1.0 35B is the Nvidia GeForce RTX 5090 (32GB) at 32 GB. See Ornith 1.0 35B on Nvidia GeForce RTX 5090 (32GB).

Q4_K_M needed
~23.2 GB
Usable on device
~11 GB
Device memory
12 GB
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Which quant fits

Quant ladder vs ~11 GB usable
Q2_K
~16.9 GB
Q3_K_M
~19.3 GB
Q4_K_M
~23.2 GB
Q5_K_M
~27.1 GB
Q6_K
~30.9 GB
Q8_0
~39.2 GB
FP16
~71.2 GB
The line marks Nvidia GeForce RTX 3060 (12GB)'s ~11 GB budget; rungs past it are too large.
Model Ornith
Parameters
35B (MoE, 3B active)
Q4_K_M size
21 GB
Q8_0 size
37 GB
Context
256k
Ollama tag
ornith:35b
Full Ornith 1.0 35B requirements →
Device Windows
Memory
12 GB vram
Usable for weights
~11 GB
Power draw
~170 W
Best runtime
Ollama (CUDA) / llama.cpp CUDA
Best models for Nvidia GeForce RTX 3060 (12GB) →

What you can run instead

Run Ornith 1.0 35B on other hardware

FAQ

Can Nvidia GeForce RTX 3060 (12GB) run Ornith 1.0 35B?

No. Ornith 1.0 35B needs ~23.2 GB even at Q4_K_M, but Nvidia GeForce RTX 3060 (12GB) only has ~11 GB usable.

How much memory does Ornith 1.0 35B need?

Nvidia GeForce RTX 3060 (12GB) does not have enough memory. At Q4_K_M the weights are ~21 GB; with KV cache and runtime overhead, budget ~23.2 GB at a 4k context. It is a Mixture-of-Experts model (35B total / 3B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Ornith 1.0 35B on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.