Will It Run AI

Can Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 run on NVIDIA H100 PCIe 80GB?

YES — Runs Great

C49Usable
Estimated from fit model

Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 needs ~26.7 GB VRAM. NVIDIA H100 PCIe 80GB has 80.0 GB. With Q4_K_M quantization, expect ~115 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
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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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 26.7 GB, 114.8 tok/s, Runs well
26.7 GB required80.0 GB available
33% VRAM used

Fit status

Runs well

Decode

114.8 tok/s

TTFT

1687 ms

Safe context

319K

Memory

26.7 GB / 80.0 GB

Memory breakdown

Weights14.6 GB
KV Cache2.8 GB
Runtime1.2 GB
Headroom8.0 GB

See how fast it feels

See how fast it feelsDolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on NVIDIA H100 PCIe 80GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 114.8 tok/s decode · 1.7s TTFT (warm) · 287 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

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well114.8 tok/s920 ms319K
CodingCRuns well114.8 tok/s1687 ms319K
Agentic CodingCRuns well114.8 tok/s2454 ms319K
ReasoningCRuns well114.8 tok/s1994 ms319K
RAGCRuns well114.8 tok/s3067 ms319K

Quantization options

How Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 (24B params) fits at each quantization level on NVIDIA H100 PCIe 80GB (80.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowC40
Q3_K_S
3
11.8 GB
LowC40
NVFP4
4
13.4 GB
MediumC41
Q4_K_M
4
14.6 GB
MediumC41
Q5_K_M
5
17.3 GB
HighC41
Q6_K
6
19.7 GB
HighC42
Q8_0
8
25.7 GB
Very HighC43
F16Best for your GPU
16
49.2 GB
MaximumC48

Get started

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 start

Frequently asked questions

Can NVIDIA H100 PCIe 80GB run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1?

Yes, NVIDIA H100 PCIe 80GB can run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 with a C grade (Runs well). Expected decode speed: 114.8 tok/s.

How much VRAM does Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 need?

Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 (24B parameters) requires approximately 26.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1?

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.

What speed will Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 run at on NVIDIA H100 PCIe 80GB?

On NVIDIA H100 PCIe 80GB, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 achieves approximately 114.8 tokens per second decode speed with a time-to-first-token of 1687ms using Q4_K_M quantization.

Can NVIDIA H100 PCIe 80GB run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 for coding?

For coding workloads, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on NVIDIA H100 PCIe 80GB receives a C grade with 114.8 tok/s and 319K context.

What context window can Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 use on NVIDIA H100 PCIe 80GB?

On NVIDIA H100 PCIe 80GB, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 can safely use up to 319K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

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