EschaLabs has released Escha-W2, a 2-bit quantized version of the Qwen3.6-35B-A3B Mixture-of-Experts model. This version is designed for local deployment, requiring only a single 24 GB consumer GPU and offering an OpenAI-compatible HTTP API. Users can choose between two runtime engines: SGLang for features like concurrency and tool calling, or ZML for a Python-free, single-binary experience with potentially faster decoding on certain hardware, though it has a longer initial startup time and limitations on lower-VRAM GPUs. AI
IMPACT Enables running a large MoE model on consumer GPUs, lowering the barrier for local AI deployment.
RANK_REASON Release of a quantized model with specific hardware requirements and runtime options, not a frontier model release.
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- EschaLabs
- EschaLabs/Qwen3.6-35B-A3B-Escha-W2
- Escha-W2
- OpenAI
- Qwen3.6-35B-A3B
- RTX 3090
- RTX 4090
- RTX 5060 Ti
- RTX 5080
- RTX 5090
- SGLang
- ZML
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