Model overview
In-house **AWQ-Marlin (4-bit)** quantization of `google/gemma-4-12B-it` — the encoder-free omni Gemma 4 (`Gemma4UnifiedForConditionalGeneration`): text + reasoning + tool-use + vision + audio, global-MQA attention, 5:1 sliding:full, ~262K native context. Packed **data-free** from the QAT base `google/gemma-4-12B-it-qat-q4_0-unquantized` (Gemma's quantization-aware-trained release). Because QAT already conditions the weights onto a 4-bit grid, a plain RTN re-quantization to AWQ group-128 is **near-lossless** — no calibration corpus needed: Weights are **5.4 GB/rank** at int4. Identical text quality to the BF16 base at matched context length.
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：gemma。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。