Model overview
GGUF quantizations of dphn/Dolphin-Mistral-24B-Venice-Edition, **built from version 1.2**, with vision adapters and an importance matrix. All the Dolphin-Mistral-24B-Venice-Edition GGUFs I could find on Hugging Face were converted from an earlier release, so I built these from version 1.2, introduced in `337ce042026e`: *"Updated to version 1.2 - vision + 131k context + improved tool calling"*. Every quant was measured by KL-divergence against the BF16 weights on held-out wikitext-2 (128 chunks). `BF16` (43.92 GB) is the reference and is included for anyone wanting to re-quantize without re-downloading the safetensors.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。