~$1,999 MSRP
falcon mamba 7b instruct Q4 K M needs ~7.6 GB VRAM. NVIDIA T4 16GB has 16.0 GB. With Q4_K_M quantization, expect ~56 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
56.0 tok/s
TTFT
3456 ms
Safe context
180K
Memory
7.6 GB / 16.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 56.0 tok/s | 1885 ms | 180K |
| Coding | C | Runs well | 56.0 tok/s | 3456 ms | 180K |
| Agentic Coding | C | Runs well | 56.0 tok/s | 5027 ms | 180K |
| Reasoning | C | Runs well | 56.0 tok/s | 4084 ms | 180K |
| RAG | C | Runs well | 56.0 tok/s | 6284 ms | 180K |
How falcon mamba 7b instruct Q4 K M (7B params) fits at each quantization level on NVIDIA T4 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C47 |
Q3_K_S | 3 | 3.4 GB | Low | C47 |
NVFP4 | 4 |
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 startUpgrade options
Yes, NVIDIA T4 16GB can run falcon mamba 7b instruct Q4 K M with a C grade (Runs well). Expected decode speed: 56.0 tok/s.
falcon mamba 7b instruct Q4 K M (7B parameters) requires approximately 7.6 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 NVIDIA T4 16GB, falcon mamba 7b instruct Q4 K M achieves approximately 56.0 tokens per second decode speed with a time-to-first-token of 3456ms using Q4_K_M quantization.
For coding workloads, falcon mamba 7b instruct Q4 K M on NVIDIA T4 16GB receives a C grade with 56.0 tok/s and 180K context.
On NVIDIA T4 16GB, falcon mamba 7b instruct Q4 K M can safely use up to 180K 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-t4-16gb" 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 |
| C48 |
Q4_K_M | 4 | 4.3 GB | Medium | C48 |
Q5_K_M | 5 | 5.0 GB | High | C49 |
Q6_K | 6 | 5.7 GB | High | C49 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C51 |
F16 | 16 | 14.3 GB | Maximum | F0 |