Model overview
GGUF conversions of **AutoArk-AI/ARK-ASR-3B**, a 19-language automatic speech recognition model, for use with **CrispASR** (a ggml/llama.cpp-style C++ engine). > ⚠️ **Experimental / work-in-progress.** Core ASR is validated and accurate (see > below), but the backend has known rough edges — read **Limitations** before relying on it. ARK-ASR-3B = **Whisper-large-v3 encoder with partial rotary position embeddings** → **MLP adapter** → **Qwen2.5-3B decoder** with audio-token injection. A single self-contained GGUF holds the encoder, adapter, and language model.
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：other。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。