RX 7600 XT 16GBBudget pick
16 GB VRAM (+8)288 GB/s (+32)
C
Raises estimated decode speed by about 31%.42.1 tok/s decode
Raises estimated decode speed by about 31%.
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
Neural Chat 7B needs ~7.9 GB VRAM. RX 6600 XT 8GB has 8.0 GB. With Q4_K_M quantization, expect ~30 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
32.2 tok/s
TTFT
6008 ms
Safe context
8K
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 | C | Tight fit | 32.2 tok/s | 3277 ms | 8K |
| Coding | C | Runs with offload | 30.0 tok/s | 6458 ms | 8K |
| Agentic Coding | F | Too heavy | 15.5 tok/s | 18155 ms | 8K |
| Reasoning | C | Runs with offload | 32.2 tok/s | 7100 ms | 8K |
| RAG | F | Too heavy | 15.5 tok/s | 22694 ms | 8K |
How Neural Chat 7B (7B params) fits at each quantization level on RX 6600 XT 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C52 |
Q3_K_S | 3 | 3.4 GB | Low | C53 |
NVFP4 | 4 |
Copy-paste commands to run Neural Chat 7B on your machine.
Run
ollama run neural-chatUpgrade options
Raises estimated decode speed by about 31%.
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
Raises estimated decode speed by about 58%.
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Raises estimated decode speed by about 103%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Yes, RX 6600 XT 8GB can run Neural Chat 7B with a C grade (Runs with offload). Expected decode speed: 30.0 tok/s.
Neural Chat 7B (7B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Neural Chat 7B is Q4_K_M, which balances quality and memory efficiency.
On RX 6600 XT 8GB, Neural Chat 7B achieves approximately 30.0 tokens per second decode speed with a time-to-first-token of 6458ms using Q4_K_M quantization.
For coding workloads, Neural Chat 7B on RX 6600 XT 8GB receives a C grade with 30.0 tok/s and 8K context.
On RX 6600 XT 8GB, Neural Chat 7B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/neural-chat-7b-on-rx-6600-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:
| Medium |
| C53 |
Q4_K_M | 4 | 4.3 GB | Medium | C52 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | C52 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.