What is Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2?
Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 is a image-text-to-text that An AI model. It has a Nerq Trust Score of 44/100 (E). 311 GitHub stars. Published by Unknown. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 311 stars, 83.9K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 Does
Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 is a model in the image-text-to-text category. An AI model. It is published by an independent developer and has no specified license. With 311 GitHub stars and 83.9K downloads, it has a growing community of users and contributors.
Who Should Use Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2
Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | image-text-to-text |
| License | Not specified |
| Type | model |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=nerkyor-qwen3-8-27b-coder390-efficientthink-opus5-5-gpt6astra-grok4-7-dsv4pro-k3-sft-rloo-mtp-dflash2
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Qwen3.8-27B | 48 | 11.2K |
| Kimi-K3 | 47 | 8.2K |
| Qwen3.8-Flash-Next | 47 | 4.7K |
| gemma-4-31B-it | 48 | 3.3K |
| Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | 48 | 3.0K |
Frequently Asked Questions
Last updated November 2026. Trust scores based on automated analysis of public data.