Codestral Mamba 7B needs ~8.9 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~77 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
77.2 tok/s
TTFT
2507 ms
Safe context
262K
Memory
8.9 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 | 77.2 tok/s | 1368 ms | 262K |
| Coding | A | Runs well | 77.2 tok/s | 2507 ms | 262K |
| Agentic Coding | A | Runs well | 77.2 tok/s | 3647 ms | 262K |
| Reasoning | A | Runs well | 77.2 tok/s | 2963 ms | 262K |
| RAG | A | Runs well | 77.2 tok/s | 4558 ms | 262K |
How Codestral Mamba 7B (7B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B68 |
Q3_K_S | 3 | 3.4 GB | Low | B68 |
NVFP4 | 4 |
Copy-paste commands to run Codestral Mamba 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "mistralai/Mamba-Codestral-7B-v0.1" \
--hf-file "Mamba-Codestral-7B-v0.1-Q4_K_M.gguf" \
-c 4096 -ngl 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 43.4 tok/s | ||
| 27B | S | 18.8 tok/s |
Yes, Radeon Pro W6800 32GB can run Codestral Mamba 7B with a A grade (Runs well). Expected decode speed: 77.2 tok/s.
Codestral Mamba 7B (7B parameters) requires approximately 8.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Codestral Mamba 7B is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W6800 32GB, Codestral Mamba 7B achieves approximately 77.2 tokens per second decode speed with a time-to-first-token of 2507ms using Q4_K_M quantization.
For coding workloads, Codestral Mamba 7B on Radeon Pro W6800 32GB receives a A grade with 77.2 tok/s and 262K context.
On Radeon Pro W6800 32GB, Codestral Mamba 7B can safely use up to 262K tokens of context. The model's official context limit is 262K, 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/codestral-mamba-7b-on-radeon-pro-w6800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
3.9 GB |
| Medium |
| B68 |
Q4_K_M | 4 | 4.3 GB | Medium | B69 |
Q5_K_M | 5 | 5.0 GB | High | B69 |
Q6_K | 6 | 5.7 GB | High | B69 |
Q8_0 | 8 | 7.5 GB | Very High | B70 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | A73 |
| 27B | S | 14.3 tok/s |
| 35B | S | 36.4 tok/s |
| 30B | S | 44.8 tok/s |