HelpingAI2.5 5B i1 needs ~5.3 GB VRAM. RX 9060 8GB has 8.0 GB. With Q4_K_M quantization, expect ~60 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
59.5 tok/s
TTFT
3254 ms
Safe context
89K
Memory
5.3 GB / 8.0 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 | 59.5 tok/s | 1775 ms | 89K |
| Coding | C | Runs well | 59.5 tok/s | 3254 ms | 89K |
| Agentic Coding | C | Runs well | 59.5 tok/s | 4734 ms | 89K |
| Reasoning | C | Runs well | 59.5 tok/s | 3846 ms | 89K |
| RAG | C | Runs well | 59.5 tok/s | 5917 ms | 89K |
How HelpingAI2.5 5B i1 (5B params) fits at each quantization level on RX 9060 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.0 GB | Low | C51 |
Q3_K_S | 3 | 2.5 GB | Low | C52 |
NVFP4 | 4 |
Copy-paste commands to run HelpingAI2.5 5B i1 on your machine.
Run
lms load hf-mradermacher--helpingai2-5-5b-i1-gguf && lms server startYes, RX 9060 8GB can run HelpingAI2.5 5B i1 with a C grade (Runs well). Expected decode speed: 59.5 tok/s.
HelpingAI2.5 5B i1 (5B parameters) requires approximately 5.3 GB of memory with Q4_K_M quantization.
The recommended quantization for HelpingAI2.5 5B i1 is Q4_K_M, which balances quality and memory efficiency.
On RX 9060 8GB, HelpingAI2.5 5B i1 achieves approximately 59.5 tokens per second decode speed with a time-to-first-token of 3254ms using Q4_K_M quantization.
For coding workloads, HelpingAI2.5 5B i1 on RX 9060 8GB receives a C grade with 59.5 tok/s and 89K context.
On RX 9060 8GB, HelpingAI2.5 5B i1 can safely use up to 89K 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--helpingai2-5-5b-i1-gguf-on-rx-9060-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
2.8 GB |
| Medium |
| C53 |
Q4_K_M | 4 | 3.1 GB | Medium | C53 |
Q5_K_M | 5 | 3.6 GB | High | C53 |
Q6_K | 6 | 4.1 GB | High | C53 |
Q8_0Best for your GPU | 8 | 5.4 GB | Very High | C52 |
F16 | 16 | 10.3 GB | Maximum | F0 |