Home / Models / StarCoder2 7B / NVIDIA RTX 2080 Ti 11 GB
Can StarCoder2 7B run on NVIDIA RTX 2080 Ti 11 GB?
Yes. Calculated memory fit: StarCoder2 7B 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
- StarCoder2 7B · 7.2B
- GPU
- NVIDIA RTX 2080 Ti 11 GB · 11 GB advertised
What else can NVIDIA RTX 2080 Ti 11 GB run? · Find other GPUs for StarCoder2 7B
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 4.2 GB |
|---|---|
| KV cache | 0.5 GB |
| Runtime reserve | 0.7 GB |
| Safety margin | 0.4 GB |
| Required (estimated) | 5.8 GB |
| GPU usable VRAM | 9.9 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K | 8K | 16K |
|---|---|---|---|---|
| BF16 | Offload | Offload | Offload | Offload |
| FP16 | Offload | Offload | Offload | Offload |
| Q3 | Fits | Fits | Fits | Fits |
| Q4 | Fits | Fits | Fits | Fits |
| Q5 | Fits | Fits | Fits | Fits |
| Q6 | Fits | Fits | Fits | Fits |
| Q8 | Fits | Fits | Fits | Limited context |
What fits entirely in VRAM?
- Q3 at 16K context
- Q3 at 2K context
- Q3 at 4K context
- Q3 at 8K context
- Q4 at 16K context
- Q4 at 2K context
- Q4 at 4K context
- Q4 at 8K context
- Q5 at 16K context
- Q5 at 2K context
- Q5 at 4K context
- Q5 at 8K 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
- StarCoder2 7B
- GPU
- NVIDIA RTX 2080 Ti 11 GB
- Runtime
- llama.cpp · CUDA · model 1.0.0
- Decode
- ~92 tok/s · Calibrated estimate · HIGH confidence (spread ~81 tok/s–~103 tok/s)
- Prefill
- ~2921 tok/s at a 512-token prompt · Calibrated estimate · MEDIUM confidence
- Time to first token
- ~175 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.
GIGABYTE GV-N208TTURBO OC-11GC graphics card NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon EXACT
Check price on Amazon
ASUS ROG-STRIX-RTX2080TI-O11G-GAMING NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon EXACT
Check price on Amazon
ASUS DUAL-RTX2080TI-O11G NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
GIGABYTE AORUS XTREME GV-N208TAORUS X-11GC graphics card NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
ASUS ROG-STRIX-RTX2080TI-A11G-GAMING NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
ASUS DUAL-RTX2080TI-A11G NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
GIGABYTE GeForce® RTX 2080 Ti WINDFORCE 11GB GDDR6 NVIDIA GeForce RTX 2080 Ti
11 GB · Amazon unmatched
ASUS ROG-STRIX-RTX2080TI-11G-GAMING NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
ASUS TURBO-RTX2080TI-11G NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
GIGABYTE AORUS GV-N208TAORUS-11GC graphics card NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
ASUS Dual -RTX2080TI-11G NVIDIA GeForce RTX 2080 Ti 11 GB GDDR6
11 GB · Amazon unmatched
Sources
Model: official config bigcode/starcoder2-7b (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.