Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 needs ~37.9 GB VRAM. NVIDIA GB200 192GB has 192.0 GB. With Q4_K_M quantization, expect ~336 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
336.0 tok/s
TTFT
576 ms
Safe context
893K
Memory
37.9 GB / 192.0 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 | 336.0 tok/s | 350 ms | 893K |
| Coding | C | Runs well | 336.0 tok/s | 576 ms | 893K |
| Agentic Coding | C | Runs well | 336.0 tok/s | 838 ms | 893K |
| Reasoning | C | Runs well | 336.0 tok/s | 681 ms | 893K |
| RAG | C | Runs well | 336.0 tok/s | 1048 ms | 893K |
How Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 (24B params) fits at each quantization level on NVIDIA GB200 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | D37 |
Q3_K_S | 3 | 11.8 GB | Low | D37 |
NVFP4 |
Copy-paste commands to run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on your machine.
Run
lms load hf-mradermacher--dolphin-mistral-glm-4-7-flash-24b-venice-edition-thinking-uncensored-i1-gguf && lms server startYes, NVIDIA GB200 192GB can run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 with a C grade (Runs well). Expected decode speed: 336.0 tok/s.
Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 (24B parameters) requires approximately 37.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA GB200 192GB, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 achieves approximately 336.0 tokens per second decode speed with a time-to-first-token of 576ms using Q4_K_M quantization.
For coding workloads, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on NVIDIA GB200 192GB receives a C grade with 336.0 tok/s and 893K context.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-mradermacher--dolphin-mistral-glm-4-7-flash-24b-venice-edition-thinking-uncensored-i1-gguf-on-gb200-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 4 |
13.4 GB |
| Medium |
| D37 |
Q4_K_M | 4 | 14.6 GB | Medium | D37 |
Q5_K_M | 5 | 17.3 GB | High | D37 |
Q6_K | 6 | 19.7 GB | High | D37 |
Q8_0 | 8 | 25.7 GB | Very High | D38 |
F16Best for your GPU | 16 | 49.2 GB | Maximum | C41 |
On NVIDIA GB200 192GB, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 can safely use up to 893K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.