Home / Models / TinyLlama 1.1B Chat v1.0 / NVIDIA RTX 5000 32 GB
Can TinyLlama 1.1B Chat v1.0 run on NVIDIA RTX 5000 32 GB?
Yes. Calculated memory fit: TinyLlama 1.1B Chat v1.0 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
- TinyLlama 1.1B Chat v1.0 · 1.1B
- GPU
- NVIDIA RTX 5000 32 GB · 32 GB advertised
What else can NVIDIA RTX 5000 32 GB run? · Find other GPUs for TinyLlama 1.1B Chat v1.0
Memory calculation
Breakdown for Q4 at 2K context, batch size 1. Calculator v1.0.0.
| Model weights | 0.6 GB |
|---|---|
| KV cache | 0.0 GB |
| Runtime reserve | 0.5 GB |
| Safety margin | 0.3 GB |
| Required (estimated) | 1.5 GB |
| GPU usable VRAM | 28.8 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K |
|---|---|
| BF16 | Fits |
| FP16 | Fits |
| Q3 | Fits |
| Q4 | Fits |
| Q5 | Fits |
| Q6 | Fits |
| Q8 | Fits |
What fits entirely in VRAM?
- BF16 at 2K context
- FP16 at 2K context
- Q3 at 2K context
- Q4 at 2K context
- Q5 at 2K context
- Q6 at 2K context
- Q8 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
No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated
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.
Sources
Model: official config TinyLlama/TinyLlama-1.1B-Chat-v1.0 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 2K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.