HelpingAI2 9B needs ~9.0 GB VRAM. RX 7800 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~71 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
70.5 tok/s
TTFT
2747 ms
Safe context
122K
Memory
9.0 GB / 16.0 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 | 70.5 tok/s | 1499 ms | 122K |
| Coding | C | Runs well | 70.5 tok/s | 2747 ms | 122K |
| Agentic Coding | C | Runs well | 70.5 tok/s | 3996 ms | 122K |
| Reasoning | C | Runs well | 70.5 tok/s | 3247 ms | 122K |
| RAG | C | Runs well | 70.5 tok/s | 4995 ms | 122K |
How HelpingAI2 9B (9B params) fits at each quantization level on RX 7800 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C47 |
Q3_K_S | 3 | 4.4 GB | Low | C48 |
NVFP4 | 4 |
Copy-paste commands to run HelpingAI2 9B on your machine.
Run
lms load hf-bartowski--helpingai2-9b-gguf && lms server startYes, RX 7800 XT 16GB can run HelpingAI2 9B with a C grade (Runs well). Expected decode speed: 70.5 tok/s.
HelpingAI2 9B (9B parameters) requires approximately 9.0 GB of memory with Q4_K_M quantization.
The recommended quantization for HelpingAI2 9B is Q4_K_M, which balances quality and memory efficiency.
On RX 7800 XT 16GB, HelpingAI2 9B achieves approximately 70.5 tokens per second decode speed with a time-to-first-token of 2747ms using Q4_K_M quantization.
For coding workloads, HelpingAI2 9B on RX 7800 XT 16GB receives a C grade with 70.5 tok/s and 122K context.
On RX 7800 XT 16GB, HelpingAI2 9B can safely use up to 122K 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-bartowski--helpingai2-9b-gguf-on-rx-7800-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| C48 |
Q4_K_M | 4 | 5.5 GB | Medium | C49 |
Q5_K_M | 5 | 6.5 GB | High | C50 |
Q6_K | 6 | 7.4 GB | High | C51 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | C51 |
F16 | 16 | 18.5 GB | Maximum | F0 |