RX 9060 XT 16GBBudget pick
16 GB VRAM (+8)320 GB/s (+32)
C
Adds memory headroom for longer context windows and future model growth.50.8 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Neural Chat 7B needs ~7.9 GB VRAM. Radeon RX 7600M 8GB has 8.0 GB. With Q4_K_M quantization, expect ~40 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
42.8 tok/s
TTFT
4526 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 | 42.8 tok/s | 2469 ms | 8K |
| Coding | C | Runs with offload | 39.8 tok/s | 4865 ms | 8K |
| Agentic Coding | F | Too heavy | 20.6 tok/s | 13676 ms | 8K |
| Reasoning | C | Runs with offload | 42.8 tok/s | 5348 ms | 8K |
| RAG | F | Too heavy | 20.6 tok/s | 17095 ms | 8K |
How Neural Chat 7B (7B params) fits at each quantization level on Radeon RX 7600M 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
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Raises estimated decode speed by about 53%.
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
Yes, Radeon RX 7600M 8GB can run Neural Chat 7B with a C grade (Runs with offload). Expected decode speed: 39.8 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 Radeon RX 7600M 8GB, Neural Chat 7B achieves approximately 39.8 tokens per second decode speed with a time-to-first-token of 4865ms using Q4_K_M quantization.
For coding workloads, Neural Chat 7B on Radeon RX 7600M 8GB receives a C grade with 39.8 tok/s and 8K context.
On Radeon RX 7600M 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-7600m-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.