Model overview
- **Website:** https://tokforge.ai - **Discord:** https://discord.gg/Acv3CBtfVm - **Google Play:** https://play.google.com/store/apps/details?id=dev.tokforge - **iOS TestFlight:** https://testflight.apple.com/join/jnufjzRr MNN-format conversion of BAAI/bge-small-en-v1.5 for use in on-device inference via the MNN runtime (Android / Linux / iOS). Produced for TokForge to consolidate embedding + LLM inference on a single runtime and remove a GGUF/llama.cpp dependency for RAG and memory/reflection embeddings. - Base model: `BAAI/bge-small-en-v1.5` (BERT encoder, 33M params) - Architecture: 12-layer BERT, hidden=384, 12 attention heads, intermediate=1536 - Pooling: **CLS token** (token 0 of `last_hidden_state`), then L2-normalize - Max sequence length: 512 - Embedding dim: 384 - Precision: fp16 weights - File size: 64 MB
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：mit。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。