internlm2 math plus 20b i1 needs ~28.2 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~178 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
178.4 tok/s
TTFT
1085 ms
Safe context
697K
Memory
28.2 GB / 128.0 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 | 178.4 tok/s | 592 ms | 697K |
| Coding | C | Runs well | 178.4 tok/s | 1085 ms | 697K |
| Agentic Coding | C | Runs well | 178.4 tok/s | 1579 ms | 697K |
| Reasoning | C | Runs well | 178.4 tok/s | 1283 ms | 697K |
| RAG | C | Runs well | 178.4 tok/s | 1974 ms | 697K |
How internlm2 math plus 20b i1 (20B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 7.8 GB | Low | D38 |
Q3_K_S | 3 | 9.8 GB | Low | D38 |
NVFP4 | 4 | 11.2 GB | Medium | D38 |
Q4_K_M | 4 | 12.2 GB | Medium | D38 |
Q5_K_M | 5 | 14.4 GB | High | D38 |
Q6_K | 6 | 16.4 GB | High | D38 |
Q8_0 | 8 | 21.4 GB | Very High | D39 |
F16Best for your GPU | 16 | 41.0 GB | Maximum | C42 |
Copy-paste commands to run internlm2 math plus 20b i1 on your machine.
Run
lms load hf-mradermacher--internlm2-math-plus-20b-i1-gguf && lms server startYes, AMD Instinct MI250 128GB can run internlm2 math plus 20b i1 with a C grade (Runs well). Expected decode speed: 178.4 tok/s.
internlm2 math plus 20b i1 (20B parameters) requires approximately 28.2 GB of memory with Q4_K_M quantization.
The recommended quantization for internlm2 math plus 20b i1 is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI250 128GB, internlm2 math plus 20b i1 achieves approximately 178.4 tokens per second decode speed with a time-to-first-token of 1085ms using Q4_K_M quantization.
For coding workloads, internlm2 math plus 20b i1 on AMD Instinct MI250 128GB receives a C grade with 178.4 tok/s and 697K context.
On AMD Instinct MI250 128GB, internlm2 math plus 20b i1 can safely use up to 697K 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-mradermacher--internlm2-math-plus-20b-i1-gguf-on-instinct-mi250-128gb" 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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