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Qwen3-4B-Thinking-2507(huggingface.co)
151 points by IdealeZahlen | 51 comments
DeepSeek-v4.1-Flash-1017(huggingface.co)
918 points by theykk | 680 comments
Hugging Face model card for DeepSeek-V4.1-Flash-1017, a 763B-parameter MIT-licensed image-text-to-text model from DeepSeek.
Kimi K2.7-Code: open-source coding model with better token efficiency(huggingface.co)
389 points by nekofneko | 208 comments
Hugging Face model card for Moonshot AI's Kimi-K2.7-Code, an open-weights 1T-parameter coding model released under a modified MIT license.
Qwen3.8-2.4T(huggingface.co)
692 points by Philpax | 161 comments
Hugging Face model card for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter mixture-of-experts text generation model from Qwen in Transformers format.
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DeepSeek-v4.1-Flash-1017(huggingface.co)
918 points by theykk | 680 comments
Hugging Face model card for DeepSeek-V4.1-Flash-1017, a 763B-parameter MIT-licensed image-text-to-text model from DeepSeek.
Qwen3.8-2.4T(huggingface.co)
692 points by Philpax | 161 comments
Hugging Face model card for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter mixture-of-experts text generation model from Qwen in Transformers format.
Llama-3.3-70B-Instruct(huggingface.co)
349 points by pr337h4m | 172 comments
Hugging Face model page for Meta's Llama-3.3-70B-Instruct, a 70B-parameter instruction-tuned text generation model, gated behind a contact-info agreement.
Show HN: TerrainSR – fast, realistic heightmap upscaling model(huggingface.co)
26 points by joegibbs | 7 comments
Hugging Face model card for TerrainSR, a diffusion model that upscales low-resolution terrain heightmaps (100m) to realistic higher-detail elevation data (10m).
Qwen 3.8 27B(huggingface.co)
1391 points by erdaltoprak | 779 comments
Hugging Face model card for Qwen3.8-27B-FP8, an FP8-quantized 27B-parameter image-text-to-text model from Qwen released under Apache 2.0.
GLM-5.3-Flash(z.ai)
1085 points by Philpax | 541 comments
Z.ai blog post announcing GLM-5.3-Flash, a natively multimodal 320B-parameter (18B active) model with hybrid sparse/linear attention, claiming strong coding and agentic results.










