Model overview
A tiny Qwen3.5 0.8B for local tool calls and short chat answers, with all layers on a small GPU. - 0.569 GB download for the default file, `Qwen3.5-0.8B-Artemis-Q5_K_M.gguf`. - Peak GPU memory 1.2 GiB on an NVIDIA RTX 5090 with an 8,192-token context; the original peaked at 2.2 GiB. - 163 of 258 held-out BFCL live tool calls right, against 109 for bartowski's Q4_K_M (0.580 GB). Needs llama.cpp with Qwen3.5 and HTTPS support. `-hf` also downloads the vision projector and loads it; add `--no-mmproj` for text only, which skips the 207 MB download.
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。