MacBook Pro M4 Max 48GBGünstige Wahl
48 GB Unified (+16)
B
This setup is broadly balanced for this model.96.5 tok/s Dekodierung
ca. $2,499 MSRP
Can Falcon 7B Instruct run on Radeon AI PRO R9700 32GB?
YES — Runs Great
B64Good
Estimated from fit model
Falcon 7B Instruct needs ~8.5 GB VRAM. Radeon AI PRO R9700 32GB has 32.0 GB. With Q4_K_M quantization, expect ~97 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: Balanced
Operating mode
Choose the run profile you care about
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
Q4_K_M (Medium quality) — 8.5 GB, 97.1 tok/s, Runs well
8.5 GB required32.0 GB available
27% VRAM used
Fit status
Runs well
Decode
97.1 tok/s
TTFT
1993 ms
Safe context
8K
Memory
8.5 GB / 32.0 GB
Memory breakdown
Weights4.3 GB
KV Cache0.1 GB
Runtime0.9 GB
Headroom3.2 GB
See how fast it feels
See how fast it feelsFalcon 7B Instruct on Radeon AI PRO R9700 32GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 97.1 tok/s decode · 2.0s TTFT (warm) · 243 tok/s prefill
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 97.1 tok/s | 1087 ms | 8K |
| Coding | B | Runs well | 97.1 tok/s | 1993 ms | 8K |
| Agentic Coding | B | Runs well | 97.1 tok/s | 2899 ms | 8K |
| Reasoning | B | Runs well | 97.1 tok/s | 2355 ms | 8K |
| RAG | B | Runs well | 97.1 tok/s | 3623 ms | 8K |
Quantization options
How Falcon 7B Instruct (7B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B59 |
Q3_K_S | 3 | 3.4 GB | Low | B59 |
NVFP4 | 4 | 3.9 GB | Medium | B59 |
Q4_K_M | 4 | 4.3 GB | Medium | B60 |
Q5_K_M | 5 | 5.0 GB | High | B60 |
Q6_K | 6 | 5.7 GB | High | B60 |
Q8_0 | 8 | 7.5 GB | Very High | B61 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B64 |
Get started
Copy-paste commands to run Falcon 7B Instruct on your machine.
Run
lms load falcon-7b-instruct && lms server startUpgrade-Optionen
Hardware, die Falcon 7B Instruct gut ausführt
Frequently asked questions
Can Radeon AI PRO R9700 32GB run Falcon 7B Instruct?
Yes, Radeon AI PRO R9700 32GB can run Falcon 7B Instruct with a B grade (Runs well). Expected decode speed: 97.1 tok/s.
How much VRAM does Falcon 7B Instruct need?
Falcon 7B Instruct (7B parameters) requires approximately 8.5 GB of memory with Q4_K_M quantization.
What is the best quantization for Falcon 7B Instruct?
The recommended quantization for Falcon 7B Instruct is Q4_K_M, which balances quality and memory efficiency.
What speed will Falcon 7B Instruct run at on Radeon AI PRO R9700 32GB?
On Radeon AI PRO R9700 32GB, Falcon 7B Instruct achieves approximately 97.1 tokens per second decode speed with a time-to-first-token of 1993ms using Q4_K_M quantization.
Can Radeon AI PRO R9700 32GB run Falcon 7B Instruct for coding?
For coding workloads, Falcon 7B Instruct on Radeon AI PRO R9700 32GB receives a B grade with 97.1 tok/s and 8K context.
What context window can Falcon 7B Instruct use on Radeon AI PRO R9700 32GB?
On Radeon AI PRO R9700 32GB, Falcon 7B Instruct can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.
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