Samantha 7B needs ~9.0 GB VRAM. RTX A4000 16GB has 16.0 GB. With Q4_K_M quantization, expect ~79 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
79.0 tok/s
TTFT
2452 ms
Safe context
4K
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 | B | Runs well | 79.0 tok/s | 1338 ms | 4K |
| Coding | B | Runs well | 79.0 tok/s | 2452 ms | 4K |
| Agentic Coding | A | Runs well | 79.0 tok/s | 3567 ms | 4K |
| Reasoning | B | Runs well | 79.0 tok/s | 2898 ms | 4K |
| RAG | A | Runs well | 79.0 tok/s | 4458 ms | 4K |
How Samantha 7B (7B params) fits at each quantization level on RTX A4000 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B63 |
Q3_K_S | 3 | 3.4 GB | Low | B63 |
NVFP4 | 4 | 3.9 GB | Medium | B64 |
Q4_K_M | 4 | 4.3 GB | Medium | B64 |
Q5_K_M | 5 | 5.0 GB | High | B65 |
Q6_K | 6 | 5.7 GB | High | B66 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B67 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run Samantha 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "cognitivecomputations/samantha-1.1-llama-7b" \
--hf-file "samantha-1.1-llama-7b-Q4_K_M.gguf" \
-c 4096 -ngl 99Yes, RTX A4000 16GB can run Samantha 7B with a B grade (Runs well). Expected decode speed: 79.0 tok/s.
Samantha 7B (7B parameters) requires approximately 9.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Samantha 7B is Q4_K_M, which balances quality and memory efficiency.
On RTX A4000 16GB, Samantha 7B achieves approximately 79.0 tokens per second decode speed with a time-to-first-token of 2452ms using Q4_K_M quantization.
For coding workloads, Samantha 7B on RTX A4000 16GB receives a B grade with 79.0 tok/s and 4K context.
On RTX A4000 16GB, Samantha 7B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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/samantha-7b-on-a4000-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: