TinyLlama 1.1B Chat v0.3 needs ~2.5 GB VRAM. RTX 5060 Ti 8GB has 8.0 GB. With Q4_K_M quantization, expect ~21 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
20.9 tok/s
TTFT
9263 ms
Safe context
699K
Memory
2.5 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 | 20.9 tok/s | 5053 ms | 450K |
| Coding | C | Runs well | 20.9 tok/s | 9263 ms | 699K |
| Agentic Coding | C | Runs well | 20.9 tok/s | 13474 ms | 699K |
| Reasoning | C | Runs well | 20.9 tok/s | 10947 ms | 699K |
| RAG | C | Runs well | 20.9 tok/s | 16842 ms | 699K |
How TinyLlama 1.1B Chat v0.3 (1.100000023841858B params) fits at each quantization level on RTX 5060 Ti 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.4 GB | Low | C49 |
Q3_K_S | 3 | 0.5 GB | Low | C49 |
NVFP4 | 4 | 0.6 GB | Medium | C49 |
Q4_K_M | 4 | 0.7 GB | Medium | C49 |
Q5_K_M | 5 | 0.8 GB | High | C50 |
Q6_K | 6 | 0.9 GB | High | C50 |
Q8_0 | 8 | 1.2 GB | Very High | C50 |
F16Best for your GPU | 16 | 2.3 GB | Maximum | C52 |
Copy-paste commands to run TinyLlama 1.1B Chat v0.3 on your machine.
Run
lms load hf-thebloke--tinyllama-1-1b-chat-v0-3-gguf && lms server startYes, RTX 5060 Ti 8GB can run TinyLlama 1.1B Chat v0.3 with a C grade (Runs well). Expected decode speed: 20.9 tok/s.
TinyLlama 1.1B Chat v0.3 (1.100000023841858B parameters) requires approximately 2.5 GB of memory with Q4_K_M quantization.
The recommended quantization for TinyLlama 1.1B Chat v0.3 is Q4_K_M, which balances quality and memory efficiency.
On RTX 5060 Ti 8GB, TinyLlama 1.1B Chat v0.3 achieves approximately 20.9 tokens per second decode speed with a time-to-first-token of 9263ms using Q4_K_M quantization.
For coding workloads, TinyLlama 1.1B Chat v0.3 on RTX 5060 Ti 8GB receives a C grade with 20.9 tok/s and 699K context.
On RTX 5060 Ti 8GB, TinyLlama 1.1B Chat v0.3 can safely use up to 699K 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-thebloke--tinyllama-1-1b-chat-v0-3-gguf-on-rtx-5060-ti-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: