Qwen3.8 27B Coder390 EfficientThink Opus5.5 GPT6Astra Grok4.7 DSV4Pro K3 SFT RLOO MTP DFlash2

Qwen3.8

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 2026context N/A

A fine-tuned derivative of the Qwen3.8 family, this model carries a long name packed with training hints — SFT, RLOO, and MTP suggest it's been through supervised fine-tuning and reinforcement learning stages. Published by nerkyor under an open Apache 2.0 license, it accepts both text and image inputs. Beyond its training lineage, specific capability details are limited.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Moderate

Multilingual

Qwen3.8 27B Coder390 EfficientThink Opus5.5 GPT6Astra Grok4.7 DSV4Pro K3 SFT RLOO MTP DFlash2

Qwen3.8

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 2026context N/A

A fine-tuned derivative of the Qwen3.8 family, this model carries a long name packed with training hints — SFT, RLOO, and MTP suggest it's been through supervised fine-tuning and reinforcement learning stages. Published by nerkyor under an open Apache 2.0 license, it accepts both text and image inputs. Beyond its training lineage, specific capability details are limited.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Moderate

Multilingual

Glossary

Apache 2.0 LicenseA permissive open-source license that allows free use, modification, and distribution of software with minimal restrictions.Apache 2.0 LicenseAn open-source software license that allows free use, modification, and distribution of code with minimal restrictions.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Reinforcement LearningA training method where a model learns by receiving rewards or penalties for its outputs, encouraging it to improve its behavior over time.Supervised Fine-tuningTraining a model on labeled examples to adapt it for a specific task or domain.Supervised Fine-tuningAdapting a pre-trained model using labeled examples where the correct outputs are known.

Capabilities

Capabilities

Use Case Fit

Glossary