Hugging Face models & datasets · 5 October 2026
daily · 1d window · Hugging Face model
All hugging face models & datasets editions →+22.1%
778 → 950 downloads
IQuestLab/IQuest-Q1
IQuest-Q1 is a Mixture-of-Experts (MoE) language model developed by IQuest for agentic coding, reasoning, and multi-step tool use. It has approximately 320B total parameters with about 15B activated per token, exposes an OpenAI-compatible API, and can be deployed in production with SGLang or vLLM. The model accepts text-only input and its documentation notes that generated code and explanations can be incorrect and may require human oversight.
- Appearances
- 3
- Categories
- 1
- First seen
- 2 October 2026
- Latest
- 5 October 2026
Recorded measurements
Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.
Hugging Face model · downloads
Hugging Face models & datasets · 5 dated measurements
Rolling download counts, not lifetime totals or downloads gained between these dates.
Latest value shown: 950 downloads ·
Higher values appear higher on the chart. The scale covers the recorded values.
View 5 exact dated values and published evidence
| Measured on | Value (downloads) | Published in |
|---|---|---|
| 503 | ||
| 604 | ||
| 707 | ||
| 778 | ||
| 950 |
“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.
01/
Appearance history
3 appearancesHugging Face models & datasets · 3 October 2026
daily · 1d window · Hugging Face model
All hugging face models & datasets editions →+17.1%
604 → 707 downloads
Hugging Face models & datasets · 2 October 2026
daily · 1d window · Hugging Face model
All hugging face models & datasets editions →+20.1%
503 → 604 downloads
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