Codestral RAG 19B Pruned i1 needs ~17.4 GB VRAM. RTX 5090 Laptop 24GB has 24.0 GB. With Q4_K_M quantization, expect ~65 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
64.9 tok/s
TTFT
2981 ms
Safe context
63K
Memory
17.4 GB / 24.0 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 | C | Runs well | 64.9 tok/s | 1626 ms | 63K |
| Coding | B | Runs well | 64.9 tok/s | 2981 ms | 63K |
| Agentic Coding | B | Runs well | 64.9 tok/s | 4336 ms | 63K |
| Reasoning | B | Runs well | 64.9 tok/s | 3523 ms | 63K |
| RAG | B | Runs well | 64.9 tok/s | 5420 ms | 63K |
How Codestral RAG 19B Pruned i1 (19B params) fits at each quantization level on RTX 5090 Laptop 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 7.4 GB | Low | C47 |
Q3_K_S | 3 | 9.3 GB | Low | C48 |
NVFP4 | 4 |
Copy-paste commands to run Codestral RAG 19B Pruned i1 on your machine.
Run
lms load hf-mradermacher--codestral-rag-19b-pruned-i1-gguf && lms server startYes, RTX 5090 Laptop 24GB can run Codestral RAG 19B Pruned i1 with a B grade (Runs well). Expected decode speed: 64.9 tok/s.
Codestral RAG 19B Pruned i1 (19B parameters) requires approximately 17.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Codestral RAG 19B Pruned i1 is Q4_K_M, which balances quality and memory efficiency.
On RTX 5090 Laptop 24GB, Codestral RAG 19B Pruned i1 achieves approximately 64.9 tokens per second decode speed with a time-to-first-token of 2981ms using Q4_K_M quantization.
For coding workloads, Codestral RAG 19B Pruned i1 on RTX 5090 Laptop 24GB receives a B grade with 64.9 tok/s and 63K context.
On RTX 5090 Laptop 24GB, Codestral RAG 19B Pruned i1 can safely use up to 63K tokens of context. The model's official context limit is —, 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/hf-mradermacher--codestral-rag-19b-pruned-i1-gguf-on-rtx-5090-laptop-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
10.6 GB |
| Medium |
| C49 |
Q4_K_M | 4 | 11.6 GB | Medium | C49 |
Q5_K_M | 5 | 13.7 GB | High | C50 |
Q6_KBest for your GPU | 6 | 15.6 GB | High | C49 |
Q8_0 | 8 | 20.3 GB | Very High | F0 |
F16 | 16 | 38.9 GB | Maximum | F0 |