Model overview
Occamy-1.0 · GGUF 17 quantizations · llama.cpp · optional vision projector Model collection · Checkpoint explorer · Project · Paper GGUF quantizations of Accio-Lab/occamy-1.0. **Q3_K_S, Q5_K_S, Q3_K_L, Q4_0 and Q5_0** are direct BF16 conversions with standard recipes and no importance matrix. The earlier ten additions used calibration importance matrices; Q4_K_M and Q8_0 retain their historical recipes. Labels describe mixed precision rather than uniform bits for every tensor. Previously published weights and evidence are preserved. Separate APEX GGUF profiles provide seven additional MoE mixed-precision allocations: three plain profiles and four calibrated I profiles, including Mini. Compare all 24 GGUF options in the checkpoint explorer.
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。