Qwen3.8
Alibaba's Qwen3.8. Watchlist entry: Qwen3.8 has not been verified as a public open-weight release yet. This preparation page uses provisional flagship-class specs so LocalAIRun can be updated quickly once Qwen publishes the official model card, weights, license, parameter count, context window, and runnable artifacts.
Task Fit
Tool use, repo work, terminal workflows, and coding benchmarks.
Code generation, debugging, refactoring, and benchmark signal.
General writing, Q&A, and assistant use.
Document QA benefits from long context and instruction following.
Image or visual understanding, not necessarily image generation.
Not marked for image generation in the current library.
Not marked for video generation in the current library.
Not marked for voice in the current library.
Source Confidence
Variants and Quant Artifacts
Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.
| Quant | Format | Quality | Min RAM | Reco RAM | Runtime | Action |
|---|---|---|---|---|---|---|
| FP8 | safetensors | balanced | 512GB | 768GB | transformers, vllm | Plan with this |
| Q4_K_M | gguf | balanced | 256GB | 384GB | llama.cpp, lm-studio | Plan with this |
| FP16 | safetensors | high | 1TB | 2TB | transformers, vllm | Plan with this |
Recommended Hardware
No compatible local hardware found in the current hardware pool.
Benchmarks
No benchmark data is available for this model yet.
Source and Review
Similar Models
Alibaba's open-weight Qwen3.6 27B. Strong coding-agent, reasoning, long-context, and vision-language model with 262K native context.
Alibaba's flagship Qwen3. Competitive with GPT-4 class models.
Qwen3 30B with MoE. Same family as Coder, general-purpose.