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
Qwen3 8B DeepSeek v3.2 Speciale Distill needs ~9.9 GB VRAM. AMD Instinct MI60 32GB has 32.0 GB. With Q4_K_M quantization, expect ~103 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
102.8 tok/s
TTFT
1883 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 | 102.8 tok/s | 1027 ms | 393K |
| Coding | C | Runs well | 102.8 tok/s | 1883 ms | 393K |
| Agentic Coding | C | Runs well | 102.8 tok/s | 2739 ms | 393K |
| Reasoning | C | Runs well | 102.8 tok/s | 2225 ms | 393K |
| RAG | C | Runs well | 102.8 tok/s | 3423 ms | 393K |
How Qwen3 8B DeepSeek v3.2 Speciale Distill (8B params) fits at each quantization level on AMD Instinct MI60 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 | C43 |
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 Qwen3 8B DeepSeek v3.2 Speciale Distill on your machine.
Run
lms load hf-teichai--qwen3-8b-deepseek-v3-2-speciale-distill-gguf && lms server startUpgrade options
Yes, AMD Instinct MI60 32GB can run Qwen3 8B DeepSeek v3.2 Speciale Distill with a C grade (Runs well). Expected decode speed: 102.8 tok/s.
Qwen3 8B DeepSeek v3.2 Speciale Distill (8B parameters) requires approximately 9.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3 8B DeepSeek v3.2 Speciale Distill is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI60 32GB, Qwen3 8B DeepSeek v3.2 Speciale Distill achieves approximately 102.8 tokens per second decode speed with a time-to-first-token of 1883ms using Q4_K_M quantization.
For coding workloads, Qwen3 8B DeepSeek v3.2 Speciale Distill on AMD Instinct MI60 32GB receives a C grade with 102.8 tok/s and 393K context.
On AMD Instinct MI60 32GB, Qwen3 8B DeepSeek v3.2 Speciale Distill 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-teichai--qwen3-8b-deepseek-v3-2-speciale-distill-gguf-on-instinct-mi60-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: