RX 7900 XT 20GBBest value
20 GB VRAM (+4)800 GB/s (+512)
C
Raises estimated decode speed by about 91%.98 tok/s decode
Raises estimated decode speed by about 91%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
DiscoPOP zephyr 7b gemma needs ~7.9 GB VRAM. RTX 2000 Ada 16GB has 16.0 GB. With Q4_K_M quantization, expect ~51 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 well
Decode
51.3 tok/s
TTFT
3777 ms
Safe context
174K
Memory
7.9 GB / 16.0 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 | 51.3 tok/s | 2060 ms | 174K |
| Coding | C | Runs well | 51.3 tok/s | 3777 ms | 174K |
| Agentic Coding | C | Runs well | 51.3 tok/s | 5494 ms | 174K |
| Reasoning | C | Runs well | 51.3 tok/s | 4464 ms | 174K |
| RAG | C | Runs well | 51.3 tok/s | 6867 ms | 174K |
Inference speed
Estimated decode speed (tokens/sec) for DiscoPOP zephyr 7b gemma at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~98 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
 RTX 5090 32GB | 32 GB | Q4_K_M | 98.0 | Fits |
| RTX 4090 24GB | 24 GB | Q4_K_M | 98.0 | Fits |
| RTX 4080 Super 16GB | 16 GB | Q4_K_M | 98.0 | Fits |
| RTX 3090 24GB | 24 GB | Q4_K_M | 98.0 | Fits |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 98.0 | Fits |
Mac Studio M3 Ultra 256GB | 256 GB | Q4_K_M | 98.0 | Fits |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 98.0 | Fits |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 98.0 | Fits |
| RTX 4070 12GB | 12 GB | Q4_K_M | 88.5 | Fits |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 87.8 | Fits |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 87.8 | Fits |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 56.2 | Fits |
| RTX 3060 12GB | 12 GB | Q4_K_M | 55.6 | Fits |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 51.5 | Fits |
| RTX 4060 8GB | 8 GB | Q4_K_M | 46.5 | Tight |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 45.3 | Fits |
Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
How DiscoPOP zephyr 7b gemma (7B params) fits at each quantization level on RTX 2000 Ada 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C46 |
Q3_K_S | 3 | 3.4 GB | Low | C47 |
NVFP4 | 4 | 3.9 GB | Medium | C47 |
Q4_K_M | 4 | 4.3 GB | Medium | C48 |
Q5_K_M | 5 | 5.0 GB | High | C48 |
Q6_K | 6 | 5.7 GB | High | C49 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | C51 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run DiscoPOP zephyr 7b gemma on your machine.
Run
lms load hf-bartowski--discopop-zephyr-7b-gemma-gguf && lms server startUpgrade options
Raises estimated decode speed by about 91%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
RTX A4500 20GBBudget pickRaises estimated decode speed by about 91%.
Adds memory headroom for longer context windows and future model growth.
~$2,000 MSRP
Yes, RTX 2000 Ada 16GB can run DiscoPOP zephyr 7b gemma with a C grade (Runs well). Expected decode speed: 51.3 tok/s.
DiscoPOP zephyr 7b gemma (7B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.
The recommended quantization for DiscoPOP zephyr 7b gemma is Q4_K_M, which balances quality and memory efficiency.
On RTX 2000 Ada 16GB, DiscoPOP zephyr 7b gemma achieves approximately 51.3 tokens per second decode speed with a time-to-first-token of 3777ms using Q4_K_M quantization.
For coding workloads, DiscoPOP zephyr 7b gemma on RTX 2000 Ada 16GB receives a C grade with 51.3 tok/s and 174K context.
On RTX 2000 Ada 16GB, DiscoPOP zephyr 7b gemma can safely use up to 174K 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.
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