RX 7700 XT 12GBBudget pick
12 GB VRAM (+4)
A
Adds memory headroom for longer context windows and future model growth.65.3 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Samantha 7B needs ~7.9 GB VRAM. RX 5700 XT 8GB has 8.0 GB. With Q4_K_M quantization, expect ~59 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 with offload
Decode
58.6 tok/s
TTFT
3301 ms
Safe context
4K
Memory
7.9 GB / 8.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Tight fit | 58.6 tok/s | 1801 ms | 4K |
| Coding | B | Runs with offload | 58.6 tok/s | 3301 ms | 4K |
| Agentic Coding | F | Too heavy | 28.2 tok/s | 9975 ms | 4K |
| Reasoning | B | Runs with offload | 58.6 tok/s | 3901 ms | 4K |
| RAG | F | Too heavy | 28.2 tok/s | 12469 ms | 4K |
How Samantha 7B (7B params) fits at each quantization level on RX 5700 XT 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B69 |
Q3_K_S | 3 | 3.4 GB | Low | B70 |
NVFP4 | 4 | 3.9 GB | Medium | B69 |
Q4_K_M | 4 | 4.3 GB | Medium | B69 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | B69 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
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 99Upgrade options
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Raises estimated decode speed by about 67%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Yes, RX 5700 XT 8GB can run Samantha 7B with a B grade (Runs with offload). Expected decode speed: 58.6 tok/s.
Samantha 7B (7B parameters) requires approximately 7.9 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 RX 5700 XT 8GB, Samantha 7B achieves approximately 58.6 tokens per second decode speed with a time-to-first-token of 3301ms using Q4_K_M quantization.
For coding workloads, Samantha 7B on RX 5700 XT 8GB receives a B grade with 58.6 tok/s and 4K context.
On RX 5700 XT 8GB, 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.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/samantha-7b-on-rx-5700-xt-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: