Llama 3.3 70B Instruct needs ~71.0 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q4_K_M quantization, expect ~97 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
96.8 tok/s
TTFT
2000 ms
Safe context
252K
Memory
71.0 GB / 192.0 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 | 96.8 tok/s | 1091 ms | 252K |
| Coding | C | Runs well | 96.8 tok/s | 2000 ms | 252K |
| Agentic Coding | C | Runs well | 96.8 tok/s | 2909 ms | 252K |
| Reasoning | C | Runs well | 96.8 tok/s | 2363 ms | 252K |
| RAG | C | Runs well | 96.8 tok/s | 3636 ms | 252K |
How Llama 3.3 70B Instruct (70B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | D39 |
Q3_K_S | 3 | 34.3 GB | Low | D39 |
NVFP4 | 4 |
Copy-paste commands to run Llama 3.3 70B Instruct on your machine.
Run
lms load hf-maziyarpanahi--llama-3-3-70b-instruct-gguf && lms server startYes, AMD Instinct MI300X 192GB can run Llama 3.3 70B Instruct with a C grade (Runs well). Expected decode speed: 96.8 tok/s.
Llama 3.3 70B Instruct (70B parameters) requires approximately 71.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Llama 3.3 70B Instruct is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI300X 192GB, Llama 3.3 70B Instruct achieves approximately 96.8 tokens per second decode speed with a time-to-first-token of 2000ms using Q4_K_M quantization.
For coding workloads, Llama 3.3 70B Instruct on AMD Instinct MI300X 192GB receives a C grade with 96.8 tok/s and 252K context.
On AMD Instinct MI300X 192GB, Llama 3.3 70B Instruct can safely use up to 252K 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-maziyarpanahi--llama-3-3-70b-instruct-gguf-on-instinct-mi300x-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
39.2 GB |
| Medium |
| C40 |
Q4_K_M | 4 | 42.7 GB | Medium | C40 |
Q5_K_M | 5 | 50.4 GB | High | C41 |
Q6_K | 6 | 57.4 GB | High | C42 |
Q8_0 | 8 | 74.9 GB | Very High | C44 |
F16Best for your GPU | 16 | 143.5 GB | Maximum | C48 |