falcon mamba 7b instruct Q4 K M needs ~7.5 GB VRAM. RTX 4070 12GB has 12.0 GB. With Q4_K_M quantization, expect ~89 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
88.5 tok/s
TTFT
2187 ms
Safe context
104K
Memory
7.5 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 | C | Runs well | 88.5 tok/s | 1193 ms | 104K |
| Coding | B | Runs well | 88.5 tok/s | 2187 ms | 104K |
| Agentic Coding | B | Runs well | 88.5 tok/s | 3181 ms | 104K |
| Reasoning | B | Runs well | 88.5 tok/s | 2585 ms | 104K |
| RAG | B | Runs well | 88.5 tok/s | 3976 ms | 104K |
How falcon mamba 7b instruct Q4 K M (7B params) fits at each quantization level on RTX 4070 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C49 |
Q3_K_S | 3 | 3.4 GB | Low | C50 |
NVFP4 | 4 | 3.9 GB | Medium | C50 |
Q4_K_M | 4 | 4.3 GB | Medium | C51 |
Q5_K_M | 5 | 5.0 GB | High | C52 |
Q6_K | 6 | 5.7 GB | High | C52 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C52 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run falcon mamba 7b instruct Q4 K M on your machine.
Run
lms load hf-tiiuae--falcon-mamba-7b-instruct-q4-k-m-gguf && lms server startYes, RTX 4070 12GB can run falcon mamba 7b instruct Q4 K M with a B grade (Runs well). Expected decode speed: 88.5 tok/s.
falcon mamba 7b instruct Q4 K M (7B parameters) requires approximately 7.5 GB of memory with Q4_K_M quantization.
The recommended quantization for falcon mamba 7b instruct Q4 K M is Q4_K_M, which balances quality and memory efficiency.
On RTX 4070 12GB, falcon mamba 7b instruct Q4 K M achieves approximately 88.5 tokens per second decode speed with a time-to-first-token of 2187ms using Q4_K_M quantization.
For coding workloads, falcon mamba 7b instruct Q4 K M on RTX 4070 12GB receives a B grade with 88.5 tok/s and 104K context.
On RTX 4070 12GB, falcon mamba 7b instruct Q4 K M can safely use up to 104K 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-tiiuae--falcon-mamba-7b-instruct-q4-k-m-gguf-on-rtx-4070-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: