Home / Models / Qwen2.5-Coder 7B Instruct / NVIDIA RTX 3080 10 GB
Can Qwen2.5-Coder 7B Instruct run on NVIDIA RTX 3080 10 GB?
Yes. Calculated memory fit: Qwen2.5-Coder 7B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.
Can it run?
- Can it run?
- Yes, full GPU fit (calculated estimate).
- Full GPU fit?
- Yes
- Model
- Qwen2.5-Coder 7B Instruct · 7.6B
- GPU
- NVIDIA RTX 3080 10 GB · 10 GB advertised
What else can NVIDIA RTX 3080 10 GB run? · Find other GPUs for Qwen2.5-Coder 7B Instruct
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 4.5 GB |
|---|---|
| KV cache | 0.4 GB |
| Runtime reserve | 0.7 GB |
| Safety margin | 0.4 GB |
| Required (estimated) | 6.0 GB |
| GPU usable VRAM | 9.0 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K |
|---|---|---|---|---|---|
| BF16 | Offload | Offload | Offload | Offload | Offload |
| FP16 | Offload | Offload | Offload | Offload | Offload |
| Q3 | Fits | Fits | Fits | Fits | Fits |
| Q4 | Fits | Fits | Fits | Fits | Fits |
| Q5 | Fits | Fits | Fits | Fits | Fits |
| Q6 | Fits | Fits | Fits | Fits | Limited context |
| Q8 | Offload | Offload | Offload | Offload | Offload |
What fits entirely in VRAM?
- Q3 at 16K context
- Q3 at 2K context
- Q3 at 32K context
- Q3 at 4K context
- Q3 at 8K context
- Q4 at 16K context
- Q4 at 2K context
- Q4 at 32K context
- Q4 at 4K context
- Q4 at 8K context
- Q5 at 16K context
- Q5 at 2K context
What requires RAM offload?
Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.
Performance
Separate from memory fit. Runtime is llama.cpp · quantization bucket Q4 (GGUF Q4_0 maps to Q4). Workload is llama-bench pp512 / tg128 (short context, batch 1, full GPU offload). This is not a ranking and not a 8K–128K speed claim.
- Model
- Qwen2.5-Coder 7B Instruct
- GPU
- NVIDIA RTX 3080 10 GB
- Runtime
- llama.cpp · CUDA · model 1.0.0
- Decode
- ~111 tok/s · Calibrated estimate · HIGH confidence (spread ~98 tok/s–~125 tok/s)
- Prefill
- ~4926 tok/s at a 512-token prompt · Calibrated estimate · MEDIUM confidence
- Time to first token
- ~104 ms for a 512-token prompt (512 / prefill tok/s). Not estimated at 8K–128K.
decode_tps = GPU_efficiency × memory_bandwidth / model_weight_bytes; efficiency from same-gpu Llama 2 7B Q4_0 efficiency
Available graphics cards
These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

ASUS TUF Gaming TUF-RTX3080-O10G-GAMING NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
Check price on Amazon
MSI VENTUS GeForce RTX 3080 3X 10G OC NVIDIA 10 GB GDDR6X
10 GB · Amazon EXACT
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GIGABYTE GeForce RTX 3080 VISION OC 10G NVIDIA 10 GB GDDR6X
10 GB · Amazon EXACT
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MSI GAMING RTX 3080 X TRIO 10G graphics card NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
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GIGABYTE AORUS GV-N3080AORUS X-10GD graphics card NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
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MSI GAMING RTX 3080 Z TRIO 10G LHR graphics card NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
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GIGABYTE EAGLE GV-N3080EAGLE OC-10GD graphics card NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
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MSI VENTUS GeForce RTX 3080 3X Plus 10G OC LHR NVIDIA 10 GB GDDR6X
10 GB · Amazon EXACT
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GIGABYTE AORUS GeForce RTX™ 3080 XTREME WATERFORCE WB 10G NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
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GIGABYTE AORUS GV-N3080AORUS M-10GD graphics card NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
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ASUS ROG -STRIX-RTX3080-O10G-V2-GAMING NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
Check price on Amazon
GIGABYTE GAMING GV-N3080GAMING OC-10GD graphics card NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
Check price on Amazon
ASUS ROG -STRIX-RTX3080-O10G-WHITE NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon EXACT
Check price on Amazon
ASUS TUF Gaming TUF-RTX3080-10G-GAMING NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon unmatched

ASUS ROG -STRIX-RTX3080-10G-GAMING NVIDIA GeForce RTX 3080 10 GB GDDR6X
10 GB · Amazon unmatched
Sources
Model: official config Qwen/Qwen2.5-Coder-7B-Instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.
