Raises estimated decode speed by about 84%.
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
zephyr 7b beta Mistral 7B Instruct v0.2 needs ~6.8 GB VRAM. RX 6600 8GB has 8.0 GB. With Q4_K_M quantization, expect ~26 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
Tight fit
Decode
25.7 tok/s
TTFT
7532 ms
Safe context
40K
Memory
6.8 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 | 25.7 tok/s | 4108 ms | 40K |
| Coding | C | Tight fit | 25.7 tok/s | 7532 ms | 40K |
| Agentic Coding | C | Runs with offload | 25.7 tok/s | 10955 ms | 40K |
| Reasoning | C | Tight fit | 25.7 tok/s | 8901 ms | 40K |
| RAG | C | Runs with offload | 25.7 tok/s | 13694 ms | 40K |
How zephyr 7b beta Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on RX 6600 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C53 |
Q3_K_S | 3 | 3.4 GB | Low | C53 |
NVFP4 | 4 |
Copy-paste commands to run zephyr 7b beta Mistral 7B Instruct v0.2 on your machine.
Run
lms load hf-maziyarpanahi--zephyr-7b-beta-mistral-7b-instruct-v0-2-gguf && lms server startUpgrade options
Raises estimated decode speed by about 84%.
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Raises estimated decode speed by about 136%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Raises estimated decode speed by about 82%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Yes, RX 6600 8GB can run zephyr 7b beta Mistral 7B Instruct v0.2 with a C grade (Tight fit). Expected decode speed: 25.7 tok/s.
zephyr 7b beta Mistral 7B Instruct v0.2 (7B parameters) requires approximately 6.8 GB of memory with Q4_K_M quantization.
The recommended quantization for zephyr 7b beta Mistral 7B Instruct v0.2 is Q4_K_M, which balances quality and memory efficiency.
On RX 6600 8GB, zephyr 7b beta Mistral 7B Instruct v0.2 achieves approximately 25.7 tokens per second decode speed with a time-to-first-token of 7532ms using Q4_K_M quantization.
For coding workloads, zephyr 7b beta Mistral 7B Instruct v0.2 on RX 6600 8GB receives a C grade with 25.7 tok/s and 40K context.
On RX 6600 8GB, zephyr 7b beta Mistral 7B Instruct v0.2 can safely use up to 40K 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-maziyarpanahi--zephyr-7b-beta-mistral-7b-instruct-v0-2-gguf-on-rx-6600-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
3.9 GB |
| Medium |
| C53 |
Q4_K_M | 4 | 4.3 GB | Medium | C53 |
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 |