Falcon3 1B Instruct abliterated needs ~2.7 GB VRAM. RTX 3070 Ti 8GB has 8.0 GB. With Q4_K_M quantization, expect ~14 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
14.0 tok/s
TTFT
13829 ms
Safe context
736K
Memory
2.7 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 | 14.0 tok/s | 7543 ms | 431K |
| Coding | C | Runs well | 14.0 tok/s | 13829 ms | 736K |
| Agentic Coding | C | Runs well | 14.0 tok/s | 20114 ms | 736K |
| Reasoning | C | Runs well | 14.0 tok/s | 16343 ms | 736K |
| RAG | C | Runs well | 14.0 tok/s | 25143 ms | 736K |
How Falcon3 1B Instruct abliterated (1B params) fits at each quantization level on RTX 3070 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 | 0.6 GB | Medium | C49 |
Q5_K_M | 5 | 0.7 GB | High | C49 |
Q6_K | 6 | 0.8 GB | High | C49 |
Q8_0 | 8 | 1.1 GB | Very High | C50 |
F16Best for your GPU | 16 | 2.1 GB | Maximum | C52 |
Copy-paste commands to run Falcon3 1B Instruct abliterated on your machine.
Run
lms load hf-bartowski--falcon3-1b-instruct-abliterated-gguf && lms server startYes, RTX 3070 Ti 8GB can run Falcon3 1B Instruct abliterated with a C grade (Runs well). Expected decode speed: 14.0 tok/s.
Falcon3 1B Instruct abliterated (1B parameters) requires approximately 2.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Falcon3 1B Instruct abliterated is Q4_K_M, which balances quality and memory efficiency.
On RTX 3070 Ti 8GB, Falcon3 1B Instruct abliterated achieves approximately 14.0 tokens per second decode speed with a time-to-first-token of 13829ms using Q4_K_M quantization.
For coding workloads, Falcon3 1B Instruct abliterated on RTX 3070 Ti 8GB receives a C grade with 14.0 tok/s and 736K context.
On RTX 3070 Ti 8GB, Falcon3 1B Instruct abliterated can safely use up to 736K 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--falcon3-1b-instruct-abliterated-gguf-on-rtx-3070-ti-8gb" 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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