Raises estimated decode speed by about 55%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
falcon mamba 7b instruct Q4 K M needs ~6.8 GB VRAM. RX 7600 8GB has 8.0 GB. With Q4_K_M quantization, expect ~45 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
Tight fit
Decode
45.0 tok/s
TTFT
4303 ms
Safe context
40K
Memory
6.8 GB / 8.0 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 | 45.0 tok/s | 2347 ms | 40K |
| Coding | C | Tight fit | 45.0 tok/s | 4303 ms | 40K |
| Agentic Coding | C | Runs with offload | 45.0 tok/s | 6260 ms | 40K |
| Reasoning | C | Tight fit | 45.0 tok/s | 5086 ms | 40K |
| RAG | C | Runs with offload | 45.0 tok/s | 7824 ms | 40K |
How falcon mamba 7b instruct Q4 K M (7B params) fits at each quantization level on RX 7600 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C53 |
Q3_K_S | 3 | 3.4 GB | Low | C53 |
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
Raises estimated decode speed by about 55%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Raises estimated decode speed by about 118%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Yes, RX 7600 8GB can run falcon mamba 7b instruct Q4 K M with a C grade (Tight fit). Expected decode speed: 45.0 tok/s.
falcon mamba 7b instruct Q4 K M (7B parameters) requires approximately 6.8 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 RX 7600 8GB, falcon mamba 7b instruct Q4 K M achieves approximately 45.0 tokens per second decode speed with a time-to-first-token of 4303ms using Q4_K_M quantization.
For coding workloads, falcon mamba 7b instruct Q4 K M on RX 7600 8GB receives a C grade with 45.0 tok/s and 40K context.
On RX 7600 8GB, falcon mamba 7b instruct Q4 K M can safely use up to 40K 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-rx-7600-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| C53 |
Q4_K_M | 4 | 4.3 GB | Medium | C53 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | C53 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
F16 | 16 | 14.3 GB | Maximum | F0 |