Model Detail
qwen3.8-flash-coder-85gb-bf16
—qwen3.8-flash-coder-85gb-bf16 is a code generation model with 21.3B parameters released by Jab1718. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
qwen3.8-flash-coder-85gb-bf16 ships with 21.3B parameters. Total weight footprint is approximately 42.6 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
qwen3.8-flash-coder-85gb-bf16 is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Qwen3.8-Omni: Towards Native Omni-Modal Agents
arXiv:2609.25611v1 Announce Type: new Abstract: We introduce Qwen3.8-Omni-Flash, a natively multimodal agentic model for real-world multimodal productivity. Compared with previous omni models, which primarily emphasized perception and interaction, Qwen3.8-Omni-Flash substantially improves multimodal
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
arXiv:2608.30320v1 Announce Type: new Abstract: We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B parameters, 6B activated per token, and additional 51B parameters of n-gram embedding tables held off the accelerator. On fourteen pre-trainin
