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AI モデル 84759
- SmallThinker-3B-Preview↗
Tiiny
- qmd-query-expansion-1.7B↗
tobil
- STAR1-R1-Distill-7B↗
UCSC-VLAA
- ViT-H-14-CLIPA-336-datacomp1B↗
UCSC-VLAA
- gemma-4-31B↗
unsloth
- Olmo-3-7B-Instruct↗
unsloth
We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought thinking improves reasoning tasks like math and coding. Olmo is a series of **O**pen **l**anguage **mo**dels designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets. We are releasing all code, checkpoints, logs (coming soon), and associated training details. The quantized model is more sensitive to data types and CUDA operations. To avoid potential issues, it's recommended to pass the inputs directly to CUDA using:
- Qwen3.8-27B-GGUF↗
unsloth
Introducing Dynamic V3.0 GGUFs for SOTA accuracy and quantization performance Run and fine-tune Qwen3.8 in Unsloth Desktop with Thinking toggles . Download for Mac, Windows and Linux. GitHub repo Developer Role Support so Qwen3.8 can work in agentic tools like Codex and more! Tool calling improvements: Makes parsing nested objects to make tool calling succeed more. See below for 4-bit Qwen3.8-27B run inside of Unsloth Desktop: Analysis of best Qwen3.8 GGUF providers. Unsloth Dynamic v3.0 delivers >10% top-1% better accuracy at the same size compared to every other provider. Read more Following the widespread community adoption of the Qwen3.5 and Qwen3.6 series, we are pleased to introduce Qwen3.8, the most capable generation in the Qwen open-model family to date.
- Khushi-Business-AI-4bit↗
UX4567
- Tifa-DeepsexV2-7b-MGRPO-GGUF-Q8↗
ValueFX9507
- Qwen3.8-27B-Fable-Distill-FP8↗
vwdubb