Model overview
Text-only AWQ quantum Qwen3.5-4B (2.91 GiB / 3.13 GB, one safetensors file) with tensors renamed to the flat naming scheme expected by vLLM. The original checkpoint kumar2235/Qwen3.5-4B-AWQ is preserved in the VLM model markup: all tensors are prefixed with `model.language_model.*` (a legacy of `Qwen3_5ForConditionalGeneration`). The vLLM implementation of the text architecture `Qwen3_5ForCausalLM` is flat: expects `model.layers.*`, `model.embed_tokens`, and `model.norm`. Because of this, vLLM doesn't load the original and crashes on startup: Renaming is rewriting the safetensors header (stdlib Python, no dependencies: `data_offsets` in safetensors are calculated from the start of the data section, so the header can be changed freely, the data is not shifted):
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。