TinyLlama 1.1B Chat v1.0 imatrix needs ~2.8 GB VRAM. RTX 2070 8GB has 8.0 GB. With Q4_K_M quantization, expect ~15 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
15.4 tok/s
TTFT
12571 ms
Safe context
661K
Memory
2.8 GB / 8.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 15.4 tok/s | 6857 ms | 426K |
| Coding | C | Runs well | 15.4 tok/s | 12571 ms | 661K |
| Agentic Coding | C | Runs well | 15.4 tok/s | 18286 ms | 661K |
| Reasoning | C | Runs well | 15.4 tok/s | 14857 ms | 661K |
| RAG | C | Runs well | 15.4 tok/s | 22857 ms | 661K |
How TinyLlama 1.1B Chat v1.0 imatrix (1.100000023841858B params) fits at each quantization level on RTX 2070 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.4 GB | Low | C48 |
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 | C49 |
Q6_K | 6 | 0.9 GB | High | C49 |
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 v1.0 imatrix on your machine.
Run
lms load hf-duyntnet--tinyllama-1-1b-chat-v1-0-imatrix-gguf && lms server startYes, RTX 2070 8GB can run TinyLlama 1.1B Chat v1.0 imatrix with a C grade (Runs well). Expected decode speed: 15.4 tok/s.
TinyLlama 1.1B Chat v1.0 imatrix (1.100000023841858B parameters) requires approximately 2.8 GB of memory with Q4_K_M quantization.
The recommended quantization for TinyLlama 1.1B Chat v1.0 imatrix is Q4_K_M, which balances quality and memory efficiency.
On RTX 2070 8GB, TinyLlama 1.1B Chat v1.0 imatrix achieves approximately 15.4 tokens per second decode speed with a time-to-first-token of 12571ms using Q4_K_M quantization.
For coding workloads, TinyLlama 1.1B Chat v1.0 imatrix on RTX 2070 8GB receives a C grade with 15.4 tok/s and 661K context.
On RTX 2070 8GB, TinyLlama 1.1B Chat v1.0 imatrix can safely use up to 661K 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-duyntnet--tinyllama-1-1b-chat-v1-0-imatrix-gguf-on-rtx-2070-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: