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Model Detail

dphn logo

Dolphin-Mistral-24B-Venice-Edition

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Provider: dphnCategory: llmPipeline: text-generationParameters: 24B
DB Score
37.0
Downloads
133K
Likes
607
Day
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Week
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Month
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Overview

Dolphin-Mistral-24B-Venice-Edition is a large language model with 24B parameters released by dphn. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, distributed under the permissive apache-2.0 license.

Pricing & Throughput

Dolphin-Mistral-24B-Venice-Edition is priced at $0.2/M input tokens and $0.9/M output tokens. Operationally the model offers a 128K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Technical

Dolphin-Mistral-24B-Venice-Edition ships with 24B parameters. The published knowledge cutoff is 2024-04-30, so newer events will not be reflected in zero-shot answers without retrieval. Total weight footprint is approximately 24.0 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Use Cases

Dolphin-Mistral-24B-Venice-Edition is best fit for general-purpose chat and instruction-following workloads, and high-volume batch jobs where per-call cost dominates the budget. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

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Pricing
Input ($/M tokens)
$0.2
Output ($/M tokens)
$0.9
Context Window
128K
Research Paper
arXiv: 2310.06825→
Model Info
Licenseapache-2.0
Modalitytext->text
Knowledge Cutoff2024-04-30
Citations3,645 (419 influential)
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