RX 7700 XT 12GBBudget pick
12 GB VRAM (+4)432 GB/s (+152)
A
Raises estimated decode speed by about 82%.65.9 tok/s decode
Raises estimated decode speed by about 82%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Can DeepSeek R1 Distill 7B run on RX 6650 XT 8GB?
YES — Tight Fit
B68Good
○Estimated from fit model
DeepSeek R1 Distill 7B needs ~6.8 GB VRAM. RX 6650 XT 8GB has 8.0 GB. With Q4_K_M quantization, expect ~36 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: LowStack: StandardBottleneck: Balanced
Share:
Operating mode
Choose the run profile you care about
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
Q4_K_M (Medium quality) — 6.8 GB, 36.3 tok/s, Tight fit
6.8 GB required8.0 GB available
85% VRAM used
Fit status
Tight fit
Decode
36.3 tok/s
TTFT
5332 ms
Safe context
33K
Memory
6.8 GB / 8.0 GB
Memory breakdown
Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.8 GB
See how fast it feels
See how fast it feelsDeepSeek R1 Distill 7B on RX 6650 XT 8GB
1st promptCold start — includes initialization
>Write a Python function to sort a list
Here's a Python function that sorts a list using quicksort:
def quicksort(arr):
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quicksort(left) + middle + quicksort(right)
# Example usage
numbers = [3, 6, 8, 10, 1, 2, 1]
print(quicksort(numbers)) # [1, 1, 2, 3, 6, 8, 10]
The algorithm picks a pivot, partitions the list into smaller, equal, and larger elements, then recursively sorts each partition and concatenates the results.
2nd promptWarm — model ready, no init overhead
>Now add type hints and a docstring
def quicksort(arr: list[int]) -> list[int]:
"""Sort a list using the quicksort algorithm.
Args:
arr: List of integers to sort.
Returns:
A new sorted list.
"""
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quicksort(left) + middle + quicksort(right)
Added type hints for the input and return type, plus a Google-style docstring.
Estimated: 36.3 tok/s decode · 5.3s TTFT (warm) · 91 tok/s prefill
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 36.3 tok/s | 2908 ms | 33K |
| Coding | B | Tight fit | 36.3 tok/s | 5332 ms | 33K |
| Agentic Coding | B | Runs with offload | 36.3 tok/s | 7756 ms | 33K |
| Reasoning | B | Tight fit | 36.3 tok/s | 6301 ms | 33K |
| RAG | B | Runs with offload | 36.3 tok/s | 9695 ms | 33K |
Quantization options
How DeepSeek R1 Distill 7B (7B params) fits at each quantization level on RX 6650 XT 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | A70 |
Q3_K_S | 3 | 3.4 GB | Low | A71 |
NVFP4 | 4 |
Get started
Copy-paste commands to run DeepSeek R1 Distill 7B on your machine.
Run
ollama run deepseek-r1:7bUpgrade options
Hardware that runs DeepSeek R1 Distill 7B well
RX 6700 XT 12GBBest value
12 GB VRAM (+4)384 GB/s (+104)
B
Raises estimated decode speed by about 40%.50.8 tok/s decode
Raises estimated decode speed by about 40%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
RX 9070 16GBAMD upgrade
16 GB VRAM (+8)640 GB/s (+360)
B
Raises estimated decode speed by about 170%.98 tok/s decode
Raises estimated decode speed by about 170%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP