MacBook Pro M4 Max 48GBBudget pick
48 GB Unified (+16)
C
This setup is broadly balanced for this model.76.8 tok/s decode
~$2,499 MSRP
DeepSeek R1 Distill Llama 8B needs ~9.9 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~70 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
69.6 tok/s
TTFT
2780 ms
Safe context
393K
Memory
9.9 GB / 32.0 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 | 69.6 tok/s | 1516 ms | 393K |
| Coding | C | Runs well | 69.6 tok/s | 2780 ms | 393K |
| Agentic Coding | C | Runs well | 69.6 tok/s | 4044 ms | 393K |
| Reasoning | C | Runs well | 69.6 tok/s | 3285 ms | 393K |
| RAG | C | Runs well | 69.6 tok/s | 5055 ms | 393K |
How DeepSeek R1 Distill Llama 8B (8B params) fits at each quantization level on Radeon Pro W7800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C43 |
Q3_K_S | 3 | 3.9 GB | Low | C44 |
NVFP4 | 4 | 4.5 GB | Medium | C44 |
Q4_K_M | 4 | 4.9 GB | Medium | C44 |
Q5_K_M | 5 | 5.8 GB | High | C44 |
Q6_K | 6 | 6.6 GB | High | C44 |
Q8_0 | 8 | 8.6 GB | Very High | C45 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | C49 |
Copy-paste commands to run DeepSeek R1 Distill Llama 8B on your machine.
Run
lms load hf-unsloth--deepseek-r1-distill-llama-8b-gguf && lms server startUpgrade options
~$2,499 MSRP
Raises estimated decode speed by about 37%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Yes, Radeon Pro W7800 32GB can run DeepSeek R1 Distill Llama 8B with a C grade (Runs well). Expected decode speed: 69.6 tok/s.
DeepSeek R1 Distill Llama 8B (8B parameters) requires approximately 9.9 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill Llama 8B is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W7800 32GB, DeepSeek R1 Distill Llama 8B achieves approximately 69.6 tokens per second decode speed with a time-to-first-token of 2780ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Llama 8B on Radeon Pro W7800 32GB receives a C grade with 69.6 tok/s and 393K context.
On Radeon Pro W7800 32GB, DeepSeek R1 Distill Llama 8B can safely use up to 393K 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-unsloth--deepseek-r1-distill-llama-8b-gguf-on-radeon-pro-w7800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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