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Qwen/Qwen3.8-2.4T-A95B
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Overview
Qwen/Qwen3.8-2.4T-A95B can be utilized with the Transformers library for text generation tasks. Users can implement a high-level pipeline for model interaction by importing the pipeline function and providing message inputs.
Summary from huggingface.co.
Reports
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huggingface.co
Qwen/Qwen3.8-2.4T-A95B
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Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · huggingface.co
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Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-08-12.
- Praise: Benchmarks are looking good, trading blows with Opus 4.8 and Sol, which indicates competitive performance in the AI landscape.
- Praise: The 1bit quant model at 397GB makes high-level AI performance accessible to smaller players, democratizing powerful tools.
- Praise: Full lossless model BF16 clocking at 4.9TB shows that even medium-sized companies can now leverage frontier-level AI capabilities.
- Concern: The open-source version's vision capability removal is a major letdown, making it feel less versatile than expected.
- Concern: Comparing a 1-bit quant model to the full model is misleading; users need to be cautious about performance expectations based on quantization.
- Concern: The limitations on the open model, especially the lack of vision support and low context length, make it feel like a step back from previous iterations.