Model overview
GGUF conversion of internlm/Intern-Decision-4B, a multimodal structured-decision model fine-tuned from Qwen3.5-4B. The initial language-model conversions declared 33 transformer blocks while containing 32 tensor blocks. The uploaded FP16 and Q8_0 models correct the conversion metadata to `block_count=32`, `nextn_predict_layers=0`, and 32 recurrent-layer entries. Model tensors are unchanged. This correction is required by current llama.cpp builds. Intern-Decision is a candidate-scoring model rather than a general chat model. Follow the upstream model card's decision-schema prompt format, constrain each field to its allowed single-token answer symbols, and read the candidate probabilities. The upstream calibration temperature is `1.99241824`; it was fitted on BF16 weights, so Q8_0 quantization can change calibration quality.
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。