Radeon Pro W7900 48GBコスパ重視
48 GB VRAM (+16)864 GB/s (+352)
C
Raises estimated decode speed by about 77%.23.2 tok/sデコード
Raises estimated decode speed by about 77%.
Adds memory headroom for longer context windows and future model growth.
〜$3,999 MSRP
Can Hermes 4.3 36B run on Radeon Pro W6800 32GB?
YES — Tight Fit
C47Usable
Estimated from fit model
Hermes 4.3 36B needs ~30.3 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~13 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: 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) — 30.3 GB, 13.1 tok/s, Tight fit
30.3 GB required32.0 GB available
95% VRAM used
Fit status
Tight fit
Decode
13.1 tok/s
TTFT
14828 ms
Safe context
23K
Memory
30.3 GB / 32.0 GB
Memory breakdown
Weights22.0 GB
KV Cache4.2 GB
Runtime0.9 GB
Headroom3.2 GB
See how fast it feels
See how fast it feelsHermes 4.3 36B on Radeon Pro W6800 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: 13.1 tok/s decode · 14.8s TTFT (warm) · 33 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Best improvement path
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 13.1 tok/s | 8088 ms | 23K |
| Coding | C | Tight fit | 13.1 tok/s | 14828 ms | 23K |
| Agentic Coding | D | Runs with offload (needs ~1.6 GB host RAM) | 8.4 tok/s | 33686 ms | 23K |
| Reasoning | C | Tight fit | 13.1 tok/s | 17524 ms | 23K |
| RAG | D | Runs with offload (needs ~1.6 GB host RAM) | 8.4 tok/s | 42107 ms | 23K |
Quantization options
How Hermes 4.3 36B (36B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C48 |
Q3_K_S | 3 | 17.6 GB | Low | C49 |
NVFP4 | 4 | 20.2 GB | Medium | C49 |
Q4_K_MBest for your GPU | 4 | 22.0 GB | Medium | C49 |
Q5_K_M | 5 | 25.9 GB | High | F0 |
Q6_K | 6 | 29.5 GB | High | F0 |
Q8_0 | 8 | 38.5 GB | Very High | F0 |
F16 | 16 | 73.8 GB | Maximum | F0 |
Get started
Copy-paste commands to run Hermes 4.3 36B on your machine.
Run
lms load hf-nousresearch--hermes-4-3-36b-gguf && lms server startアップグレードオプション
Hermes 4.3 36Bを快適に動かすハードウェア
Radeon PRO W7900 DS 48GBコスパ最良
48 GB VRAM (+16)864 GB/s (+352)
C
Raises estimated decode speed by about 77%.23.2 tok/sデコード
Raises estimated decode speed by about 77%.
Adds memory headroom for longer context windows and future model growth.
〜$3,999 MSRP
AMD Instinct MI210 64GBAMDアップグレード
64 GB VRAM (+32)1638 GB/s (+1126)
C
Raises estimated decode speed by about 287%.50.7 tok/sデコード
Raises estimated decode speed by about 287%.
Adds memory headroom for longer context windows and future model growth.
〜$10,000 MSRP
Frequently asked questions
Can Radeon Pro W6800 32GB run Hermes 4.3 36B?
Yes, Radeon Pro W6800 32GB can run Hermes 4.3 36B with a C grade (Tight fit). Expected decode speed: 13.1 tok/s.
How much VRAM does Hermes 4.3 36B need?
Hermes 4.3 36B (36B parameters) requires approximately 30.3 GB of memory with Q4_K_M quantization.
What is the best quantization for Hermes 4.3 36B?
The recommended quantization for Hermes 4.3 36B is Q4_K_M, which balances quality and memory efficiency.
What speed will Hermes 4.3 36B run at on Radeon Pro W6800 32GB?
On Radeon Pro W6800 32GB, Hermes 4.3 36B achieves approximately 13.1 tokens per second decode speed with a time-to-first-token of 14828ms using Q4_K_M quantization.
Can Radeon Pro W6800 32GB run Hermes 4.3 36B for coding?
For coding workloads, Hermes 4.3 36B on Radeon Pro W6800 32GB receives a C grade with 13.1 tok/s and 23K context.
What context window can Hermes 4.3 36B use on Radeon Pro W6800 32GB?
On Radeon Pro W6800 32GB, Hermes 4.3 36B can safely use up to 23K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
What should I upgrade first if Hermes 4.3 36B feels slow on Radeon Pro W6800 32GB?
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
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