unsloth/Qwen3.5-397B-A17B-GGUF
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danielhanchen
updated a model about 6 hours ago
UD-K_XL and UD-K_S variants for LTX-2.3?
1
#2 opened 1 day ago
by
AI-Joe-git
danielhanchen
updated a model about 22 hours ago
danielhanchen
updated a model 1 day ago
shimmyshimmer
updated a model 1 day ago
qwen3.5 27b bf16 question
1
#19 opened 2 days ago
by
OldMan12345
Update status for Qwen3.5 122B and 27B GGUFs?
👍 👀 23
6
#13 opened 6 days ago
by
Chlheng
shimmyshimmer
updated a collection 1 day ago
danielhanchen
updated a model 1 day ago
danielhanchen
published a model 1 day ago
Mar 5 Update: New iMatrix + Variants
❤️ 5
3
#20 opened 1 day ago
by
danielhanchen
bad arch tag?
👍 1
1
#17 opened 3 days ago
by
wtambellini
danielhanchen
updated a model 2 days ago
Mar 5 - 'Final' Update: iMatrix + Benchmarks + New quant algo
❤️ 🚀 6
24
#31 opened 2 days ago
by
danielhanchen
Feb 27: GGUF Update + Tool-calling fixes + Benchmarks
🚀 🔥 12
23
#10 opened 8 days ago
by
danielhanchen
Mar 5 - 'Final' Update: iMatrix + Benchmarks + New quant algo
🔥 6
4
#13 opened 2 days ago
by
danielhanchen
March 3, 2026 updates ?
7
#25 opened 3 days ago
by
BitBuilder
March 5 updates compared to Feb ones?
12
#11 opened 2 days ago
by
tnuvkeg
danielhanchen
updated a model 2 days ago
danielhanchen
posted an
update 2 days ago
Post
1754
You can now fine-tune Qwen3.5 for free with our notebook! 🔥
You just need 5GB VRAM to train Qwen3.5-2B LoRA locally!
Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune
Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb
You just need 5GB VRAM to train Qwen3.5-2B LoRA locally!
Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune
Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb