CodeLlama 13B Instruct needs ~24.5 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~95 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
94.9 tok/s
TTFT
2040 ms
Safe context
16K
Memory
24.5 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 94.9 tok/s | 1113 ms | 16K |
| Coding | A | Runs well | 94.9 tok/s | 2040 ms | 16K |
| Agentic Coding | B | Very compromised (needs ~1 GB host RAM) | 54.7 tok/s | 5144 ms | 16K |
| Reasoning | A | Runs well | 94.9 tok/s | 2411 ms | 16K |
| RAG | B | Very compromised (needs ~1 GB host RAM) | 54.7 tok/s | 6430 ms | 16K |
How CodeLlama 13B Instruct (13B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B69 |
Q3_K_S | 3 | 6.4 GB | Low | B69 |
NVFP4 | 4 |
Copy-paste commands to run CodeLlama 13B Instruct on your machine.
Run
lms load CodeLlama-13b-Instruct-hf && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 113.8 tok/s | ||
| 27B | S | 49.4 tok/s |
Yes, RTX PRO 4500 Blackwell 32GB can run CodeLlama 13B Instruct with a A grade (Runs well). Expected decode speed: 94.9 tok/s.
CodeLlama 13B Instruct (13B parameters) requires approximately 24.5 GB of memory with Q4_K_M quantization.
The recommended quantization for CodeLlama 13B Instruct is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 4500 Blackwell 32GB, CodeLlama 13B Instruct achieves approximately 94.9 tokens per second decode speed with a time-to-first-token of 2040ms using Q4_K_M quantization.
For coding workloads, CodeLlama 13B Instruct on RTX PRO 4500 Blackwell 32GB receives a A grade with 94.9 tok/s and 16K context.
On RTX PRO 4500 Blackwell 32GB, CodeLlama 13B Instruct can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/codellama-13b-instruct-on-rtx-pro-4500-blackwell-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.3 GB |
| Medium |
| B70 |
Q4_K_M | 4 | 7.9 GB | Medium | B70 |
Q5_K_M | 5 | 9.4 GB | High | A71 |
Q6_K | 6 | 10.7 GB | High | A71 |
Q8_0 | 8 | 13.9 GB | Very High | A73 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | A74 |
| 27B | S | 49.5 tok/s |
| 35B | S | 95.6 tok/s |
| 30B | S | 117.7 tok/s |