MacBook Pro M4 Max 36GBコスパ重視
36 GB Unified (+12)
B
This setup is broadly balanced for this model.71.6 tok/sデコード
〜$2,499 MSRP
Can Qwen 2.5 Coder 7B run on RTX 4500 Ada 24GB?
YES — Runs Great
B69Good
Estimated from fit model
Qwen 2.5 Coder 7B needs ~8.7 GB VRAM. RTX 4500 Ada 24GB has 24.0 GB. With Q4_K_M quantization, expect ~87 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: LowStack: BasicBottleneck: 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) — 8.7 GB, 86.8 tok/s, Runs well
8.7 GB required24.0 GB available
36% VRAM used
Fit status
Runs well
Decode
86.8 tok/s
TTFT
2231 ms
Safe context
131K
Memory
8.7 GB / 24.0 GB
Memory breakdown
Weights4.3 GB
KV Cache0.9 GB
Runtime1.2 GB
Headroom2.4 GB
See how fast it feels
See how fast it feelsQwen 2.5 Coder 7B on RTX 4500 Ada 24GB
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: 86.8 tok/s decode · 2.2s TTFT (warm) · 217 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 | 86.8 tok/s | 1217 ms | 131K |
| Coding | B | Runs well | 86.8 tok/s | 2231 ms | 131K |
| Agentic Coding | A | Runs well | 86.8 tok/s | 3245 ms | 131K |
| Reasoning | B | Runs well | 86.8 tok/s | 2637 ms | 131K |
| RAG | A | Runs well | 86.8 tok/s | 4056 ms | 131K |
Quantization options
How Qwen 2.5 Coder 7B (7B params) fits at each quantization level on RTX 4500 Ada 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B64 |
Q3_K_S | 3 | 3.4 GB | Low | B65 |
NVFP4 | 4 | 3.9 GB | Medium | B65 |
Q4_K_M | 4 | 4.3 GB | Medium | B65 |
Q5_K_M | 5 | 5.0 GB | High | B65 |
Q6_K | 6 | 5.7 GB | High | B66 |
Q8_0 | 8 | 7.5 GB | Very High | B67 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B70 |
Get started
Copy-paste commands to run Qwen 2.5 Coder 7B on your machine.
Run
ollama run qwen2.5-coder:7bアップグレードオプション
Qwen 2.5 Coder 7Bを快適に動かすハードウェア
Frequently asked questions
Can RTX 4500 Ada 24GB run Qwen 2.5 Coder 7B?
Yes, RTX 4500 Ada 24GB can run Qwen 2.5 Coder 7B with a B grade (Runs well). Expected decode speed: 86.8 tok/s.
How much VRAM does Qwen 2.5 Coder 7B need?
Qwen 2.5 Coder 7B (7B parameters) requires approximately 8.7 GB of memory with Q4_K_M quantization.
What is the best quantization for Qwen 2.5 Coder 7B?
The recommended quantization for Qwen 2.5 Coder 7B is Q4_K_M, which balances quality and memory efficiency.
What speed will Qwen 2.5 Coder 7B run at on RTX 4500 Ada 24GB?
On RTX 4500 Ada 24GB, Qwen 2.5 Coder 7B achieves approximately 86.8 tokens per second decode speed with a time-to-first-token of 2231ms using Q4_K_M quantization.
Can RTX 4500 Ada 24GB run Qwen 2.5 Coder 7B for coding?
For coding workloads, Qwen 2.5 Coder 7B on RTX 4500 Ada 24GB receives a B grade with 86.8 tok/s and 131K context.
What context window can Qwen 2.5 Coder 7B use on RTX 4500 Ada 24GB?
On RTX 4500 Ada 24GB, Qwen 2.5 Coder 7B can safely use up to 131K 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/qwen-2.5-coder-7b-on-rtx-4500-ada-24gb" 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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