CodeLlama 13B Instruct needs ~30.9 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~169 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
169.2 tok/s
TTFT
1144 ms
Safe context
16K
Memory
30.9 GB / 96.0 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 | 169.2 tok/s | 624 ms | 16K |
| Coding | A | Runs well | 169.2 tok/s | 1144 ms | 16K |
| Agentic Coding | A | Runs well | 169.2 tok/s | 1665 ms | 16K |
| Reasoning | A | Runs well | 169.2 tok/s | 1353 ms | 16K |
| RAG | A | Runs well | 169.2 tok/s | 2081 ms | 16K |
How CodeLlama 13B Instruct (13B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | B64 |
Q3_K_S | 3 | 6.4 GB | Low | B64 |
NVFP4 | 4 | 7.3 GB | Medium | B64 |
Q4_K_M | 4 | 7.9 GB | Medium | B64 |
Q5_K_M | 5 | 9.4 GB | High | B64 |
Q6_K | 6 | 10.7 GB | High | B65 |
Q8_0 | 8 | 13.9 GB | Very High | B65 |
F16Best for your GPU | 16 | 26.7 GB | Maximum | B67 |
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 |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 19.4 tok/s | |
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 202.8 tok/s | |
| Qwen 3.5 27B | 27B | S | 88 tok/s | |
| Qwen 3.6 27B | 27B | S | 88.2 tok/s | |
| Qwen 3.5 122B A10B | 122B | S | 53.9 tok/s |
Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run CodeLlama 13B Instruct with a A grade (Runs well). Expected decode speed: 169.2 tok/s.
CodeLlama 13B Instruct (13B parameters) requires approximately 30.9 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 6000 Blackwell Server Edition 96GB, CodeLlama 13B Instruct achieves approximately 169.2 tokens per second decode speed with a time-to-first-token of 1144ms using Q4_K_M quantization.
For coding workloads, CodeLlama 13B Instruct on RTX PRO 6000 Blackwell Server Edition 96GB receives a A grade with 169.2 tok/s and 16K context.
On RTX PRO 6000 Blackwell Server Edition 96GB, 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-6000-blackwell-server-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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