Model overview
Prism ML Website | Demo & Examples | Discord A 4B-class vision-language model with ternary transformer weights, for llama.cpp (CUDA, Metal, CPU). - **Ternary language weights** across embeddings, attention projections, MLP projections and the (tied) LM head, stored with a group-wise FP16 scale. - **Three GGUF packings** of the same weights, consumed directly by custom kernels and never expanded back to FP16: **PTQ1_0** (dense trits, 0.95 GB), **PQ2_0** (2-bit slots, 1.15 GB) and **Q2_0** (1.21 GB). - **Vision input** through a separate mmproj pack (Q8_0, or BF16 for reference precision), loaded only when an image arrives. - **262K-token context**, inherited from the Qwen3.5-4B hybrid-attention backbone (24 linear-attention and 8 full-attention layers).
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。