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NVIDIA RTX 3060 12 GB
12 GB GDDR6 advertised VRAM. Usable memory for calculations is 90% of advertised capacity. This page is the chip + VRAM entity — not a single cooler SKU.
No fresh matched Amazon price is currently available for this canonical GPU.
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What AI models can it run?
Calculated memory fit for catalog models on this chip. Defaults are Q4 and 8K when you do not change the controls. This is not a speed ranking.
- GPU
- NVIDIA RTX 3060 12 GB · 12 GB advertised
- Usable VRAM
- 10.8 GB (advertised × 0.90)
- Quantization
- Q4 (default for this form)
- Context
- 8K (default for this form)
43 of 82 catalog models calculate as a full VRAM fit under these assumptions.
Runs fully in GPU VRAM
43 models at the selected quantization and context. Memory fit only — not a speed ranking.
Mistral Nemo 12B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 9.7 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 1.1 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Offload Q5 Limited context Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 32K Limited context 4K Fits 64K Limited context 8K Fits
Falcon 3 10B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 8.5 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 2.3 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Limited context Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Limited context 4K Fits 8K Fits
GLM-4-9B-0414
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 7.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 3.8 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
Gemma 2 9B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 9.2 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 1.6 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Limited context Q5 Fits Q4 Fits Q3 Fits
Q4: 2K Fits 4K Fits 8K Fits
Qwen3 8B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 7.1 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 3.7 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 40K Limited context 8K Fits
DeepSeek R1 Distill Llama 8B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.0 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Fits 2K Fits 32K Fits 4K Fits 64K Limited context 8K Fits
Hermes 3 Llama 3.1 8B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.0 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Fits 2K Fits 32K Fits 4K Fits 64K Limited context 8K Fits
Llama 3.1 8B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.0 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Fits 2K Fits 32K Fits 4K Fits 64K Limited context 8K Fits
Llama 3 8B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.0 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 2K Fits 4K Fits 8K Fits
Ministral 8B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 7.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 3.8 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
Gemma 4 E4B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.5 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.3 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Fits 2K Fits 32K Fits 4K Fits 64K Limited context 8K Fits
DeepSeek R1 Distill Qwen 7B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.8 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Fits 2K Fits 32K Fits 4K Fits 64K Fits 8K Fits
Qwen2.5 7B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.8 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
Qwen2.5-Coder 7B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.8 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
Qwen2 7B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.8 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
Falcon 3 7B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.4 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.4 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
Mistral 7B Instruct v0.3
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.5 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 32K Fits 4K Fits 8K Fits
OpenChat 3.5 7B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 6.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.5 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 2K Fits 4K Fits 8K Fits
Falcon 7B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 9.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 1.0 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Limited context Q6 Limited context Q5 Fits Q4 Fits Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 32K Limited context 4K Fits 64K Limited context 8K Fits
StarCoder2 7B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 5.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 5.0 GB leftover after the calculated requirement
- Fit
- Fits Runs fully in GPU VRAM
At 8K: FP16 Offload BF16 Offload Q8 Fits Q6 Fits Q5 Fits Q4 Fits Q3 Fits
Q4: 16K Fits 2K Fits 4K Fits 8K Fits
Fits with a shorter context
10 models at the selected quantization and context. Memory fit only — not a speed ranking.
Qwen3 14B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.4 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.6 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Fits
Q4: 16K Limited context 2K Fits 32K Limited context 4K Fits 40K Limited context 8K Limited context
DeepSeek R1 Distill Qwen 14B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.6 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.8 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 32K Limited context 4K Limited context 64K Limited context 8K Limited context
Phi-4
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.6 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.8 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Fits
Q4: 16K Limited context 2K Fits 4K Limited context 8K Limited context
Qwen2.5 14B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.6 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.8 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Fits
Q4: 16K Limited context 2K Fits 32K Limited context 4K Limited context 8K Limited context
Phi-4 Reasoning
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.6 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.8 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Fits
Q4: 16K Limited context 2K Fits 32K Limited context 4K Limited context 8K Limited context
Phi-3 Medium 128K Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.2 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.4 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 32K Limited context 4K Fits 64K Limited context 8K Limited context
Code Llama 13B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 15.2 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 4.4 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Offload Q5 Offload Q4 Limited context Q3 Limited context
Q4: 16K Limited context 2K Fits 4K Limited context 8K Limited context
Gemma 3 12B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.5 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.7 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Offload Q5 Limited context Q4 Limited context Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 32K Limited context 4K Fits 64K Limited context 8K Limited context
Gemma 4 12B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.5 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Offload Q5 Limited context Q4 Limited context Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 256K Limited context 32K Limited context 4K Fits 64K Limited context 8K Limited context
GLM-4 9B Chat
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.7 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.9 GB over usable VRAM
- Fit
- Limited context Fits with a shorter context
At 8K: FP16 Offload BF16 Offload Q8 Offload Q6 Limited context Q5 Limited context Q4 Limited context Q3 Fits
Q4: 128K Limited context 16K Limited context 2K Fits 32K Limited context 4K Fits 64K Limited context 8K Limited context
Requires CPU/RAM offload
18 models at the selected quantization and context. Memory fit only — not a speed ranking.
Code Llama 34B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.6 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 12.8 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 4K Offload 8K Offload
DeepSeek Coder 33B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 13.0 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 4K Offload 8K Offload
Qwen3 32B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.5 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 12.7 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 40K Offload 8K Offload
DeepSeek R1 Distill Qwen 32B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 12.5 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 32K Offload 4K Offload 64K Offload 8K Offload
Qwen2.5 32B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 12.5 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 8K Offload
Qwen2.5-Coder 32B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 12.5 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 8K Offload
QwQ 32B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 23.3 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 12.5 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 No Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 40K Offload 8K Offload
Gemma 4 31B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 28.1 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 17.3 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 256K Offload 32K Offload 4K Offload 64K Offload 8K Offload
Qwen3 30B-A3B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 20.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 10.0 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 40K Offload 8K Offload
Qwen3-Coder 30B-A3B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 20.8 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 10.0 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 256K Offload 32K Offload 4K Offload 64K Offload 8K Offload
Gemma 3 27B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 22.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 11.2 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 32K Offload 4K Offload 64K Offload 8K Offload
Gemma 2 27B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 20.9 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 10.1 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 2K Offload 4K Offload 8K Offload
Gemma 4 26B-A4B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 19.4 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 8.6 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 No Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 256K Offload 32K Offload 4K Offload 64K Offload 8K Offload
Mistral Small 3.2 24B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 17.2 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 6.4 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 32K Offload 4K Offload 64K Offload 8K Offload
Mistral Small 24B Instruct
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 17.0 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 6.2 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 8K Offload
Magistral Small
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 16.9 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 6.1 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 16K Offload 2K Offload 32K Offload 4K Offload 40K Offload 8K Offload
GPT-OSS 20B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 14.7 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 3.9 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Offload Q3 Offload
Q4: 128K Offload 16K Offload 2K Offload 32K Offload 4K Offload 64K Offload 8K Offload
StarCoder2 15B
- Quantization
- Q4
- Context
- 8K
- Required VRAM
- 11.5 GB
- Usable GPU VRAM
- 10.8 GB
- VRAM headroom
- 0.7 GB over usable VRAM
- Fit
- Offload Requires CPU/RAM offload
At 8K: FP16 No BF16 No Q8 Offload Q6 Offload Q5 Offload Q4 Offload Q3 Fits
Q4: 16K Offload 2K Offload 4K Offload 8K Offload
Does not fit
| Model | Required VRAM | Usable VRAM | Status |
|---|---|---|---|
| GLM-4.5 | 230.7 GB | 10.8 GB | No |
| Qwen3 235B-A22B | 151.2 GB | 10.8 GB | No |
| Mixtral 8x22B Instruct | 91.8 GB | 10.8 GB | No |
| GPT-OSS 120B | 75.5 GB | 10.8 GB | No |
| GLM-4.5 Air | 72.2 GB | 10.8 GB | No |
| Qwen2.5 72B Instruct | 49.3 GB | 10.8 GB | No |
| DeepSeek R1 Distill Llama 70B | 48.0 GB | 10.8 GB | No |
| Hermes 3 Llama 3.1 70B | 48.0 GB | 10.8 GB | No |
| Llama 3.1 70B Instruct | 48.0 GB | 10.8 GB | No |
| Llama 3.3 70B Instruct | 48.0 GB | 10.8 GB | No |
| Mixtral 8x7B Instruct | 31.3 GB | 10.8 GB | No |
Q4 / Q8 / FP16 overview
Status below is the best calculated result across evaluated context lengths for each quantization. Open a model for the full table.
Local AI performance
llama.cpp CUDA decode at Q4 under llama-bench tg128 conditions. Shown only for models that fit fully in VRAM. Not a ranking.
| Model | Decode | State | Confidence |
|---|---|---|---|
| Mistral Nemo 12B Instruct | ~38 tok/s | Calibrated estimate | MEDIUM |
| Falcon 3 10B Instruct | ~45 tok/s | Calibrated estimate | MEDIUM |
| GLM-4-9B-0414 | ~50 tok/s | Calibrated estimate | MEDIUM |
| Gemma 2 9B Instruct | ~51 tok/s | Calibrated estimate | MEDIUM |
| Qwen3 8B | ~57 tok/s | Calibrated estimate | HIGH |
| Hermes 3 Llama 3.1 8B | ~58 tok/s | Calibrated estimate | HIGH |
| Llama 3.1 8B Instruct | ~58 tok/s | Calibrated estimate | HIGH |
| Llama 3 8B Instruct | ~58 tok/s | Calibrated estimate | HIGH |
| DeepSeek R1 Distill Llama 8B | ~58 tok/s | Calibrated estimate | HIGH |
| Qwen2.5-Coder 7B Instruct | ~61 tok/s | Calibrated estimate | HIGH |
Compare this GPU
Published local-AI comparisons involving this chip. Not a ranking.
Available graphics cards
These are Icecat product SKUs mapped to this chip. Different board-partner cards are not assumed to share a price. Amazon CTAs appear only for EXACT/HIGH matches that are not bundled accessories.
MSI VENTUS GeForce RTX 3060 2X 12G OC NVIDIA 12 GB GDDR6
12 GB · Amazon EXACT
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ASUS Dual -RTX3060-O12G-V2 NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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MSI VENTUS GeForce RTX 3060 3X 12G OC NVIDIA 12 GB GDDR6
12 GB · Amazon EXACT
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GIGABYTE RTX 3060 Windforce OC 12G NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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GIGABYTE EAGLE GeForce RTX 3060 OC 12G NVIDIA 12 GB GDDR6
12 GB · Amazon EXACT
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GIGABYTE GeForce RTX 3060 VISION OC 12G NVIDIA 12 GB GDDR6
12 GB · Amazon EXACT
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ASUS TUF Gaming TUF-RTX3060-O12G-GAMING NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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GIGABYTE AORUS GV-N3060AORUS E-12GD graphics card NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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MSI GAMING RTX 3060 Z TRIO 12G graphics card NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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ASUS Dual -RTX3060-O12G NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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ASUS TUF Gaming TUF-RTX3060-O12G-V2-GAMING NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon EXACT
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ASUS Phoenix PH-RTX3060-12G-V2 NVIDIA GeForce RTX 3060 12 GB GDDR6
12 GB · Amazon unmatched
GIGABYTE GAMING GeForce RTX 3060 OC 12G NVIDIA 12 GB GDDR6
12 GB · Amazon unmatched
Sources
GPU identity and VRAM: Icecat structured specifications. Compatibility: RigForAI calculated estimate. Amazon: live affiliate match on individual SKUs, via /go/amazon/.