Codestral Mamba 7B needs ~6.9 GB VRAM. RX 6700 XT 12GB has 12.0 GB. With Q4_K_M quantization, expect ~54 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
53.8 tok/s
TTFT
3600 ms
Safe context
184K
Memory
6.9 GB / 12.0 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 | 53.8 tok/s | 1964 ms | 184K |
| Coding | A | Runs well | 53.8 tok/s | 3600 ms | 184K |
| Agentic Coding | A | Runs well | 53.8 tok/s | 5236 ms | 184K |
| Reasoning | A | Runs well | 53.8 tok/s | 4255 ms | 184K |
| RAG | A | Runs well | 53.8 tok/s | 6545 ms | 184K |
How Codestral Mamba 7B (7B params) fits at each quantization level on RX 6700 XT 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | A74 |
Q3_K_S | 3 | 3.4 GB | Low | A75 |
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 |
|---|---|---|---|---|
| 9B | S | 39.1 tok/s | ||
| 14B | A | 15.8 tok/s |
Yes, RX 6700 XT 12GB can run Codestral Mamba 7B with a A grade (Runs well). Expected decode speed: 53.8 tok/s.
Codestral Mamba 7B (7B parameters) requires approximately 6.9 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 RX 6700 XT 12GB, Codestral Mamba 7B achieves approximately 53.8 tokens per second decode speed with a time-to-first-token of 3600ms using Q4_K_M quantization.
For coding workloads, Codestral Mamba 7B on RX 6700 XT 12GB receives a A grade with 53.8 tok/s and 184K context.
On RX 6700 XT 12GB, Codestral Mamba 7B can safely use up to 184K 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-rx-6700-xt-12gb" 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 |
| A76 |
Q4_K_M | 4 | 4.3 GB | Medium | A76 |
Q5_K_M | 5 | 5.0 GB | High | A77 |
Q6_K | 6 | 5.7 GB | High | A78 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | A77 |
F16 | 16 | 14.3 GB | Maximum | F0 |
| 8B | S | 44 tok/s |
| 14.7B | A | 12.8 tok/s |
| 8B | S | 44 tok/s |