stabilityai japanese stablelm base gamma 7b needs ~11.1 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q4_K_M quantization, expect ~98 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
98.0 tok/s
TTFT
1976 ms
Safe context
736K
Memory
11.1 GB / 48.0 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 | 98.0 tok/s | 1078 ms | 736K |
| Coding | C | Runs well | 98.0 tok/s | 1976 ms | 736K |
| Agentic Coding | C | Runs well | 98.0 tok/s | 2873 ms | 736K |
| Reasoning | C | Runs well | 98.0 tok/s | 2335 ms | 736K |
| RAG | C | Runs well | 98.0 tok/s | 3592 ms | 736K |
How stabilityai japanese stablelm base gamma 7b (7B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C41 |
Q3_K_S | 3 | 3.4 GB | Low | C41 |
NVFP4 | 4 | 3.9 GB | Medium | C41 |
Q4_K_M | 4 | 4.3 GB | Medium | C41 |
Q5_K_M | 5 | 5.0 GB | High | C41 |
Q6_K | 6 | 5.7 GB | High | C41 |
Q8_0 | 8 | 7.5 GB | Very High | C42 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | C44 |
Copy-paste commands to run stabilityai japanese stablelm base gamma 7b on your machine.
Run
lms load hf-richarderkhov--stabilityai---japanese-stablelm-base-gamma-7b-gguf && lms server startOpciones de mejora
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$2,499 MSRP
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$3,999 MSRP
Yes, RTX 6000 Ada 48GB can run stabilityai japanese stablelm base gamma 7b with a C grade (Runs well). Expected decode speed: 98.0 tok/s.
stabilityai japanese stablelm base gamma 7b (7B parameters) requires approximately 11.1 GB of memory with Q4_K_M quantization.
The recommended quantization for stabilityai japanese stablelm base gamma 7b is Q4_K_M, which balances quality and memory efficiency.
On RTX 6000 Ada 48GB, stabilityai japanese stablelm base gamma 7b achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.
For coding workloads, stabilityai japanese stablelm base gamma 7b on RTX 6000 Ada 48GB receives a C grade with 98.0 tok/s and 736K context.
On RTX 6000 Ada 48GB, stabilityai japanese stablelm base gamma 7b can safely use up to 736K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
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<iframe src="https://willitrunai.com/embed/hf-richarderkhov--stabilityai---japanese-stablelm-base-gamma-7b-gguf-on-rtx-6000-ada-48gb" 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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