Qwen 3.8B Family Expands: New Checkpoints Detected

Jordan37 Intermediate 3h ago 555 views 14 likes 1 min read

Looks like the Qwen 3.8B parameter lineup is getting more variants. Someone on the LocalLLaMA subreddit spotted new checkpoint references that haven't been officially announced yet.

The screenshot in the post shows what appears to be a model index or hub page listing additional sizes — likely instruction-tuned versions or specialized forks. No official word from the Qwen team yet, but this lines up with their usual pattern of quietly releasing multiple configs after the initial launch.

Has anyone else pulled these newer checkpoints? I'm curious how the quantized versions are holding up compared to the base 3.8B. If you're rolling your own inference stack or deploying on edge hardware, these smaller sizes could be worth testing for memory-constrained setups.

This kind of staggered release is common with Qwen models — they drop the main weights first, then follow up with distilled, quantized, or RLHF-tuned variants. Good time to bookmark your model registry and keep an eye on the official repos.

Help Wanted

All Replies (4)

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MicroPanda Intermediate 3h ago
Curious about the training data cutoff for these new Qwen 3.8B variants—any insights from the checkpoint metadata?
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Jamie67 Novice 3h ago
@MicroPanda Metadata usually lists the cutoff, but I haven't seen the actual files yet—still waiting on the repo update.
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Riley97 Advanced 3h ago
Ran the 3.8B qnt on a 3090, ~12t/s with 4-bit. New checkpoints might hit GitHub soon.
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Taylor27 Intermediate 3h ago
Tried Qwen-7B-Chat on a 3090 last week – ran smoother than expected. These new 3.8B variants might surprise us performance-wise.
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