RX 9070 XT 16GB经济之选
16 GB VRAM (+4)640 GB/s (+256)
B
Raises estimated decode speed by about 105%.81.1 tok/s 解码
Raises estimated decode speed by about 105%.
Adds memory headroom for longer context windows and future model growth.
~$549 MSRP
Can Yi Coder 9B run on RX 6700 XT 12GB?
YES — Runs Great
B66Good
Estimated from fit model
Yi Coder 9B needs ~9.1 GB VRAM. RX 6700 XT 12GB has 12.0 GB. With Q4_K_M quantization, expect ~40 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced
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) — 9.1 GB, 39.6 tok/s, Runs well
9.1 GB required12.0 GB available
76% VRAM used
Fit status
Runs well
Decode
39.6 tok/s
TTFT
4895 ms
Safe context
48K
Memory
9.1 GB / 12.0 GB
Memory breakdown
Weights5.5 GB
KV Cache1.5 GB
Runtime0.9 GB
Headroom1.2 GB
See how fast it feels
See how fast it feelsYi Coder 9B on RX 6700 XT 12GB
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: 39.6 tok/s decode · 4.9s TTFT (warm) · 99 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 | B | Runs well | 39.6 tok/s | 2670 ms | 48K |
| Coding | B | Runs well | 39.6 tok/s | 4895 ms | 48K |
| Agentic Coding | B | Tight fit | 39.6 tok/s | 7119 ms | 48K |
| Reasoning | B | Runs well | 39.6 tok/s | 5784 ms | 48K |
| RAG | B | Tight fit | 39.6 tok/s | 8899 ms | 48K |
Quantization options
How Yi Coder 9B (9B params) fits at each quantization level on RX 6700 XT 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B62 |
Q3_K_S | 3 | 4.4 GB | Low | B63 |
NVFP4 | 4 | 5.0 GB | Medium | B64 |
Q4_K_M | 4 | 5.5 GB | Medium | B65 |
Q5_K_M | 5 | 6.5 GB | High | B64 |
Q6_KBest for your GPU | 6 | 7.4 GB | High | B64 |
Q8_0 | 8 | 9.6 GB | Very High | F0 |
F16 | 16 | 18.5 GB | Maximum | F0 |
Get started
Copy-paste commands to run Yi Coder 9B on your machine.
Run
lms load Yi-Coder-9B-Chat && lms server start升级选项
能流畅运行 Yi Coder 9B 的硬件
Frequently asked questions
Can RX 6700 XT 12GB run Yi Coder 9B?
Yes, RX 6700 XT 12GB can run Yi Coder 9B with a B grade (Runs well). Expected decode speed: 39.6 tok/s.
How much VRAM does Yi Coder 9B need?
Yi Coder 9B (9B parameters) requires approximately 9.1 GB of memory with Q4_K_M quantization.
What is the best quantization for Yi Coder 9B?
The recommended quantization for Yi Coder 9B is Q4_K_M, which balances quality and memory efficiency.
What speed will Yi Coder 9B run at on RX 6700 XT 12GB?
On RX 6700 XT 12GB, Yi Coder 9B achieves approximately 39.6 tokens per second decode speed with a time-to-first-token of 4895ms using Q4_K_M quantization.
Can RX 6700 XT 12GB run Yi Coder 9B for coding?
For coding workloads, Yi Coder 9B on RX 6700 XT 12GB receives a B grade with 39.6 tok/s and 48K context.
What context window can Yi Coder 9B use on RX 6700 XT 12GB?
On RX 6700 XT 12GB, Yi Coder 9B can safely use up to 48K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
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<iframe src="https://willitrunai.com/embed/yi-coder-9b-on-rx-6700-xt-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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