https://tools.xclean.dev/models Trending AI models on Hugging Face (2026-09-06): Qwen/Qwen3.8-27B and four more, with what each is good for. en Sun, 06 Sep 2026 08:03:00 GMT https://huggingface.co/Qwen/Qwen3.8-27Bhttps://huggingface.co/Qwen/Qwen3.8-27B#2026-09-06Sun, 06 Sep 2026 00:00:00 GMTQwen3.8-27B is the Qwen team's 27B-parameter vision-language model, released under Apache 2.0 as post-trained weights in Hugging Face Transformers format. The card lists compatibility with Transformers, vLLM, SGLang and TokenSpeed, with a hosted API offered separately through Qwen Cloud. It is the most liked model in today's set at 14,056 likes and about 6.0 million downloads.AI Models — Daily Top 5 https://huggingface.co/XHToken/Spark-X2.5-4Bhttps://huggingface.co/XHToken/Spark-X2.5-4B#2026-09-06Sun, 06 Sep 2026 00:00:00 GMTSpark-X2.5-4B is a 4B-parameter open text-generation model from XHToken, shipped for conversational use with custom modelling code alongside the safetensors weights. Its companion project presents the Spark-X2.5 series as an attempt to push agentic capability into models that run on device. It is the newest entry here, with about 4,755 downloads and 563 likes.AI Models — Daily Top 5 https://huggingface.co/facebook/mms-300mhttps://huggingface.co/facebook/mms-300m#2026-09-06Sun, 06 Sep 2026 00:00:00 GMTfacebook/mms-300m is the 300 million parameter checkpoint from Meta's Massively Multilingual Speech project, pretrained with the wav2vec2 self-supervised objective on roughly 500,000 hours of audio across more than 1,400 languages. It is a base model intended to be fine-tuned for a downstream speech task and expects 16 kHz input. It shows about 12,464 downloads and 263 likes.AI Models — Daily Top 5 https://huggingface.co/distilbert/distilbert-base-uncasedhttps://huggingface.co/distilbert/distilbert-base-uncased#2026-09-06Sun, 06 Sep 2026 00:00:00 GMTDistilBERT base uncased is a distilled, smaller version of BERT base that does not distinguish letter case. It is published for masked language modelling and serves mainly as a starting point for fine-tuning, which keeps it among the Hub's most used encoders at roughly 7.1 million downloads. The checkpoint carries 1,156 likes.AI Models — Daily Top 5 https://huggingface.co/openai/clip-vit-base-patch32https://huggingface.co/openai/clip-vit-base-patch32#2026-09-06Sun, 06 Sep 2026 00:00:00 GMTCLIP ViT-B/32 pairs images with free-form text labels, which lets it classify pictures into categories it was never explicitly trained on. OpenAI researchers built it to study what makes computer vision models robust, and it remains a default choice for zero-shot image classification and embeddings. At about 20.6 million downloads it is the most downloaded model in today's set, with 1,210 likes.AI Models — Daily Top 5 https://huggingface.co/IFM/K2-Horizon-MoVA-36B-A4Bhttps://huggingface.co/IFM/K2-Horizon-MoVA-36B-A4B#2026-09-05Sat, 05 Sep 2026 00:00:00 GMTIFM released the sparse member of its K2-Horizon family, a mixture-of-experts model that holds 36B parameters but runs about 4B per token, paired with mixture-of-values attention. The card claims frontier-class agentic and reasoning results at that active-parameter budget. Only the final checkpoint is out; intermediate checkpoints, data and training code are promised later.AI Models — Daily Top 5 https://huggingface.co/Jackrong/Qwopus3.8-27B-Flash-GGUFhttps://huggingface.co/Jackrong/Qwopus3.8-27B-Flash-GGUF#2026-09-05Sat, 05 Sep 2026 00:00:00 GMTA llama.cpp-ready GGUF build of Qwopus3.8-27B-Flash, a 27B multimodal model that takes image and text input, packaged for local inference. The author has posted a warning that a flaw in second-stage reinforcement learning makes the model emit wrong indentation in some Python programs, and plans to retrain that stage. It has been pulled about 10.7k times.AI Models — Daily Top 5 https://huggingface.co/lightx2v/Minimax-h3-Turbohttps://huggingface.co/lightx2v/Minimax-h3-Turbo#2026-09-05Sat, 05 Sep 2026 00:00:00 GMTLightX2V's turbo distillation of MiniMax-H3 does text-to-video, image-to-video and reference-to-video in a handful of sampling steps. At roughly 1.19M downloads it is by far the most pulled model on the board, and third-party INT8 ComfyUI repacks that fuse it into a single file are trending alongside it. A hosted studio demo is available.AI Models — Daily Top 5 https://huggingface.co/XHToken/Spark-X2.5-1.7Bhttps://huggingface.co/XHToken/Spark-X2.5-1.7B#2026-09-05Sat, 05 Sep 2026 00:00:00 GMTXHToken published Spark-X2.5-1.7B, a small conversational text-generation model shipped in safetensors with custom modeling code. The 1.7B size puts it in range of local and on-device deployment. It has about 2.3k downloads and 90 likes so far.AI Models — Daily Top 5 https://huggingface.co/nvidia/Qwen3.8-Flash-Next-NVFP4https://huggingface.co/nvidia/Qwen3.8-Flash-Next-NVFP4#2026-09-05Sat, 05 Sep 2026 00:00:00 GMTNVIDIA published an NVFP4 four-bit quantization of Alibaba's Qwen3.8-Flash-Next, produced with its Model Optimizer toolkit. The base is a causal language model with a vision encoder, hybrid Gated DeltaNet and sparse attention, a mixture-of-experts stack and n-gram embeddings. The quantized weights cut the memory needed to serve it.AI Models — Daily Top 5 https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAUhttps://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU#2026-09-04Fri, 04 Sep 2026 00:00:00 GMTDavidAU published an uncensored 27B merge of Qwen3.8 tagged for image-text-to-text use, shipping safetensors weights through transformers. The author bills it as the first of several planned releases, with GGUF conversions and more than ten further variants in a companion repository. It is the only model on today's trending list, with 153 likes and about 2,000 downloads.AI Models — Daily Top 5 https://huggingface.co/OpenVDN/vdn-minimax-h3https://huggingface.co/OpenVDN/vdn-minimax-h3#2026-09-03Thu, 03 Sep 2026 00:00:00 GMTOpenVDN released VDN-Minimax-H3, which applies Video DeltaNet's hybrid attention to the MiniMax H3 video generator for what the card describes as near-lossless quality at lower cost. On eight B200 GPUs the authors report generating video faster than it plays back. Weights, code and license ship together as a text-to-video diffusers model.AI Models — Daily Top 5 https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUFhttps://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF#2026-09-03Thu, 03 Sep 2026 00:00:00 GMTDavidAU published MTP GGUF quants of a Qwen3.8 27B fine-tune the card calls TURBO, tuned to cut thinking tokens by half or more while keeping output detail. The card claims scores above 735 on ARC-C and 880 on ARC-E in 8-bit, and above 718 ARC-C at 4-bit. It has drawn nearly 40,000 downloads.AI Models — Daily Top 5 https://huggingface.co/AngelSlim/Hy4-preview-GGUFhttps://huggingface.co/AngelSlim/Hy4-preview-GGUF#2026-09-03Thu, 03 Sep 2026 00:00:00 GMTAngelSlim published three GGUF builds of Tencent's Hy4-preview, from a standard 4-bit Q4_K_M at 435 GiB down to about 214 GiB using the UD-IQ1_M and MIX_STQ1_0 strategies. The two smaller builds roughly halve the file size for local runs of a very large model. It is the most downloaded model in today's pool at about 97,000 downloads.AI Models — Daily Top 5 https://huggingface.co/unsloth/Qwen3.8-27B-GGUFhttps://huggingface.co/unsloth/Qwen3.8-27B-GGUF#2026-09-02Wed, 02 Sep 2026 00:00:00 GMTUnsloth published GGUF builds of Qwen3.8-27B using its Dynamic 3.0 quantization, which the model card says holds accuracy better than other leading quants. The card also notes developer-role support so the model works inside agentic tools such as Codex, and improved parsing of nested tool-call objects. The repo has 9.4M downloads and 3,355 likes.AI Models — Daily Top 5 https://huggingface.co/Lightricks/LTX-2.5https://huggingface.co/Lightricks/LTX-2.5#2026-09-02Wed, 02 Sep 2026 00:00:00 GMTLightricks released LTX-2.5, a video generation model published in single-file diffusion format. Its repository tags span image-to-video, text-to-video and video-to-video generation as well as audio-to-video and video-to-audio conversion. It has drawn 1.2M downloads and 2,488 likes.AI Models — Daily Top 5 https://huggingface.co/unsloth/GLM-5.3-Flash-GGUFhttps://huggingface.co/unsloth/GLM-5.3-Flash-GGUF#2026-09-02Wed, 02 Sep 2026 00:00:00 GMTUnsloth released GGUF quantizations of GLM-5.3-Flash, a bilingual English and Chinese text generation model. The card directs users to a llama.cpp pull request or the Unsloth desktop app to run the files, and demonstrates a 1-bit build of the model running in that desktop UI. The repo has 63,718 downloads and 327 likes.AI Models — Daily Top 5 https://huggingface.co/MiniMaxAI/MiniMax-H3https://huggingface.co/MiniMaxAI/MiniMax-H3#2026-09-02Wed, 02 Sep 2026 00:00:00 GMTMiniMax published MiniMax-H3, a video generation model covering text-to-video, image-to-video and video-to-video along with joint text-to-audio-video output. The card points to hosted APIs on the company's global and China platforms, its web apps, and official prompt-writing skills on GitHub. It has 5.5M downloads and 4,772 likes.AI Models — Daily Top 5 https://huggingface.co/Qwen/Qwen3.8-Flash-Next-FP8https://huggingface.co/Qwen/Qwen3.8-Flash-Next-FP8#2026-09-02Wed, 02 Sep 2026 00:00:00 GMTQwen published FP8-quantized weights for the post-trained Qwen3.8-Flash-Next in Hugging Face Transformers format. The card describes fine-grained FP8 quantization with a block size of 128 and reports metrics nearly identical to the unquantized model, with compatibility across Transformers, vLLM and SGLang. It has 130,451 downloads and 181 likes.AI Models — Daily Top 5 https://huggingface.co/google/timesfm-3.0-pytorchhttps://huggingface.co/google/timesfm-3.0-pytorch#2026-09-01Tue, 01 Sep 2026 00:00:00 GMTGoogle Research published the official PyTorch weights and configurations for TimesFM 3.0, its pretrained time-series forecasting foundation model. The card describes a stacked mixing transformer with variate attention and releases the model under a non-commercial license. The repository has drawn 188 likes with no downloads recorded yet.AI Models — Daily Top 5 https://huggingface.co/google-bert/bert-base-uncasedhttps://huggingface.co/google-bert/bert-base-uncased#2026-09-01Tue, 01 Sep 2026 00:00:00 GMTBERT base uncased remains one of the most downloaded checkpoints on Hugging Face, logging 69,651,344 downloads and 2,831 likes. The English masked language model comes from the original 2018 BERT paper and does not distinguish case. It is distributed for PyTorch, TensorFlow, JAX, ONNX, Core ML and Rust.AI Models — Daily Top 5 https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2#2026-09-01Tue, 01 Sep 2026 00:00:00 GMTall-MiniLM-L6-v2 leads today's set with 255,143,740 downloads and 5,350 likes. The sentence-transformers model maps sentences and paragraphs into a 384-dimensional dense vector space for clustering and semantic search, and ships in PyTorch, ONNX, OpenVINO and Rust builds.AI Models — Daily Top 5 https://huggingface.co/Momoking/Qwen3-VL-32B-Heretic-MiniMax-H3-NVFP4https://huggingface.co/Momoking/Qwen3-VL-32B-Heretic-MiniMax-H3-NVFP4#2026-09-01Tue, 01 Sep 2026 00:00:00 GMTThis repository re-quantizes an uncensored Qwen3-VL-32B text encoder for MiniMax-H3 video generation into mixed-precision NVFP4, cutting it to 15.7 GB so it fits on a single 16 GB card. The build is packaged for ComfyUI and has drawn 98 likes with no downloads recorded yet.AI Models — Daily Top 5 https://huggingface.co/openai-community/gpt2https://huggingface.co/openai-community/gpt2#2026-09-01Tue, 01 Sep 2026 00:00:00 GMTGPT-2 is still in heavy use, with 14,502,665 downloads and 3,502 likes. The English causal language model was introduced by OpenAI in the paper Language Models are Unsupervised Multitask Learners and is distributed for PyTorch, TensorFlow, JAX, TFLite, ONNX and Rust.AI Models — Daily Top 5 https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exphttps://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp#2026-08-31Mon, 31 Aug 2026 00:00:00 GMTDeepSeek published DeepSeek-V4-Flash-Vision-Exp, the first experimental multimodal model in its V4 family, and it tops today's Hugging Face trending set with 304 likes. The release adds visual modules to the DeepSeek-V4-Flash architecture and continues training to unlock image understanding. DeepSeek says it improves substantially on multimodal agent tasks over DeepSeek-V4-Flash-0731.AI Models — Daily Top 5 https://huggingface.co/Kijai/MiniMax-H3-experimentalhttps://huggingface.co/Kijai/MiniMax-H3-experimental#2026-08-31Mon, 31 Aug 2026 00:00:00 GMTKijai posted experimental repacks of MiniMax-H3 for ComfyUI, which have drawn 374 likes, the most in today's set. They include a w4a8 format pairing 4-bit weights with int8 convrot activations, and an int8 convrot VAE the author says cuts decode time by about a third; both need ComfyUI 0.31.0. A four-step distilled video checkpoint and an experimental reference LoRA also ship.AI Models — Daily Top 5 https://huggingface.co/incoai/GLM-5.3-Flash-DFlash2https://huggingface.co/incoai/GLM-5.3-Flash-DFlash2#2026-08-31Mon, 31 Aug 2026 00:00:00 GMTInco AI released DFlash 2, a draft model for speculative decoding with GLM-5.3-Flash, which has logged 7,322 downloads. The repository is not a standalone language model: it runs inside a speculative decoding server and drafts tokens for the target model to verify. DFlash 2 is a block-diffusion drafter that predicts a whole block of tokens in a single pass.AI Models — Daily Top 5 https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fable-Fusion-GAIN-V1.1-732-Heretic-Uncensored-stage1https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fable-Fusion-GAIN-V1.1-732-Heretic-Uncensored-stage1#2026-08-31Mon, 31 Aug 2026 00:00:00 GMTDavidAU published a first-stage Cold Fusion build on Qwen3.8-27B that has collected 91 likes on 17 downloads. The repository is tagged as an uncensored fine-tune using the Heretic method and is registered for image-text-to-text use, so it takes both images and text. Its model card is currently empty.AI Models — Daily Top 5 https://huggingface.co/ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUFhttps://huggingface.co/ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF#2026-08-31Mon, 31 Aug 2026 00:00:00 GMTISTA-DASLab released non-uniform GGUF quantizations of Qwen3.8-27B, the most downloaded entry in today's set at 18,665. The files are produced with the lab's GSQ and RCO methods, which mix precision across the model rather than applying a single bit width, and they ship with a vision projector for multimodal use.AI Models — Daily Top 5 https://huggingface.co/Comfy-Org/MiniMax-H3https://huggingface.co/Comfy-Org/MiniMax-H3#2026-08-30Sun, 30 Aug 2026 00:00:00 GMTComfy-Org's repackaging of MiniMax-H3 leads Hugging Face activity today with more than 21 million downloads and 1,616 likes. The repository ships the diffusion model as ComfyUI-ready single files, along with an NVFP4 Qwen3-VL-32B text encoder that the maintainers say runs without a Blackwell GPU. They recommend the int8_convrot build over fp8_scaled for users on PyTorch with CUDA 13.AI Models — Daily Top 5 https://huggingface.co/ornith-ai/Ornith-1.5-35B-A3B-GGUFhttps://huggingface.co/ornith-ai/Ornith-1.5-35B-A3B-GGUF#2026-08-30Sun, 30 Aug 2026 00:00:00 GMTornith-ai published GGUF builds of Ornith-1.5-35B-A3B, a 35B-parameter model whose name indicates roughly 3B active parameters per token. The team describes Ornith-1.5 as extending Ornith-1.0, itself continued-pretrained from Qwen3.5 and Gemma4, by widening an end-to-end self-improvement loop beyond scaffold and rollout. The quantized repository has passed 2 million downloads.AI Models — Daily Top 5 https://huggingface.co/orcarouter/GLM-5.3-Flash-Uncensored-FP8https://huggingface.co/orcarouter/GLM-5.3-Flash-Uncensored-FP8#2026-08-30Sun, 30 Aug 2026 00:00:00 GMTAn FP8 build of GLM-5.3-Flash with refusal behavior stripped out drew 101 likes on Hugging Face despite fewer than 700 downloads. Its tags mark it as abliterated and image-text-to-text, pointing to a vision-capable variant of the GLM-5.3 Flash tier served in 8-bit floating point. The repository ships no documentation.AI Models — Daily Top 5 https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFreehttps://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree#2026-08-29Sat, 29 Aug 2026 00:00:00 GMTFastVideo published the recommended checkpoint of its FastH3 preview, which generates synchronized video and audio from a text prompt in four transformer forward passes. The step-1300 model was trained with data-free DMD2 distillation and VSA-H3 at 90 percent sparsity. It leads today's trending models with 140 likes.AI Models — Daily Top 5 https://huggingface.co/logic65/Qwen3.8-Whittle-MoE-27B-A17.8Bhttps://huggingface.co/logic65/Qwen3.8-Whittle-MoE-27B-A17.8B#2026-08-29Sat, 29 Aug 2026 00:00:00 GMTThis research preview whittles Qwen3.5 down to a 27B mixture-of-experts model with 17.8B active parameters. Version 2.2.1, dated today, fixes a reasoning abort in which the model could end its turn inside its own chain of thought. The maintainer traced it to a stop gate trained on chat-template thinking blocks that the training data never closed.AI Models — Daily Top 5 https://huggingface.co/ibm-granite/granite-4.2-30bhttps://huggingface.co/ibm-granite/granite-4.2-30b#2026-08-29Sat, 29 Aug 2026 00:00:00 GMTIBM released Granite 4.2 30B, a text generation model the company tags for reasoning, extended thinking and tool calling. It ships as part of the Granite 4.2 language model collection, with a technical blog and a public GitHub repository alongside the weights. The checkpoint has drawn 2,946 downloads and 90 likes.AI Models — Daily Top 5 https://huggingface.co/orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUFhttps://huggingface.co/orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF#2026-08-29Sat, 29 Aug 2026 00:00:00 GMTAn abliterated build of Qwen3.8 Flash Next, packaged in GGUF for local inference. The repository is tagged as a mixture-of-experts model with an image-text-to-text pipeline, and carries no README text. It is the most downloaded entry in today's trending set, with 20,275 downloads against 97 likes.AI Models — Daily Top 5 https://huggingface.co/zai-org/GLM-5.3https://huggingface.co/zai-org/GLM-5.3#2026-08-28Fri, 28 Aug 2026 00:00:00 GMTGLM-5.3 keeps the same base model as GLM-5.2 and takes all of its gains from post-training, targeting complex coding and long-horizon tasks. Z.ai reports a 50 percent improvement over GLM-5.2 on its in-house code benchmark and open-source state of the art on Terminal Bench 3.0 and Agents' Last Exam. The card also flags emergent cyber capability as post-training scaled.AI Models — Daily Top 5 https://huggingface.co/tencent/Hy4-previewhttps://huggingface.co/tencent/Hy4-preview#2026-08-28Fri, 28 Aug 2026 00:00:00 GMTA preview release of Tencent's Hunyuan 4 mixture-of-experts model, published under Apache 2.0 with bilingual Chinese and English documentation. It is tagged for text generation and conversational use and is mirrored on ModelScope and cnb.cool alongside the Hugging Face repository.AI Models — Daily Top 5 https://huggingface.co/pipecat-ai/phonellm-alpha-1https://huggingface.co/pipecat-ai/phonellm-alpha-1#2026-08-28Fri, 28 Aug 2026 00:00:00 GMTPhoneLLM Alpha 1 is a voice-agent model fine-tuned from NVIDIA Nemotron 3 Nano 30B-A3B for phone calls. It is a hybrid Mamba-Transformer mixture of experts with 30 billion total and 3.5 billion active parameters, trained by full-parameter supervised fine-tuning in NVIDIA NeMo, and it carries a 262,144-token context in bfloat16.AI Models — Daily Top 5 https://huggingface.co/peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUFhttps://huggingface.co/peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF#2026-08-28Fri, 28 Aug 2026 00:00:00 GMTA dynamic imatrix requantization of Ornith-1.5-35B-A3B packaged as GGUF for llama.cpp and aimed at agentic coding. The publisher reports that at 4-bit and 22 GB it fixes real codebase issues at the rate of a far larger hosted model and holds up in multi-turn conversation, while being poor at trivia. It is the most downloaded model on the board.AI Models — Daily Top 5 https://huggingface.co/tencent/WeMM-Embedding-9Bhttps://huggingface.co/tencent/WeMM-Embedding-9B#2026-08-28Fri, 28 Aug 2026 00:00:00 GMTA universal multimodal embedding model built on Qwen3.5 that maps text, images and video into one representation space. Tencent publishes it with a technical report and a GitHub repository, tagged for feature extraction and sentence-transformers use.AI Models — Daily Top 5 https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUFhttps://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF#2026-08-27Thu, 27 Aug 2026 00:00:00 GMTUnsloth published GGUF builds of Qwen3.8-Flash-Next made with its Dynamic 3.0 quantization, which the team says reaches better accuracy than other leading quants. Running them currently calls for Unsloth's llama.cpp pull request or its desktop app, where the model exposes thinking controls. The repo has about 4,354 downloads and 441 likes.AI Models — Daily Top 5 https://huggingface.co/BreezeBlue/Breeze-TTS-2https://huggingface.co/BreezeBlue/Breeze-TTS-2#2026-08-27Thu, 27 Aug 2026 00:00:00 GMTBreezeBlue open-sourced the Breeze TTS 2 weights on August 25 together with PyTorch inference code on GitHub. The model covers speech generation, voice cloning and voice design. Its source code is Apache 2.0, but the weights, derivative models and self-hosted outputs are limited to research and non-commercial use.AI Models — Daily Top 5 https://huggingface.co/moonshotai/Kimi-K3https://huggingface.co/moonshotai/Kimi-K3#2026-08-27Thu, 27 Aug 2026 00:00:00 GMTMoonshot AI released Kimi K3, a 2.8-trillion-parameter open-weight multimodal agentic model the lab calls its most capable to date. It is built on Kimi Delta Attention and Attention Residuals, with native vision and a one-million-token context window, and is presented as the first open model of the 3T class. It has roughly 2.8 million downloads and 11,035 likes.AI Models — Daily Top 5 https://huggingface.co/alibaba-pai/MiniMax-H3-Acc-LoRAshttps://huggingface.co/alibaba-pai/MiniMax-H3-Acc-LoRAs#2026-08-27Thu, 27 Aug 2026 00:00:00 GMTAlibaba's PAI team published acceleration LoRAs for MiniMax-H3, applying Parallel Decoding Distillation so the video model generates in only a few inference steps. The release includes 8-step variants for the model's first-last-frame-to-video mode and is used through the VideoX-Fun repository. It has about 609 downloads and 108 likes.AI Models — Daily Top 5 https://huggingface.co/apodex/Apodex-1.1-minihttps://huggingface.co/apodex/Apodex-1.1-mini#2026-08-27Thu, 27 Aug 2026 00:00:00 GMTApodex released Apodex-1.1-mini, a reasoning-first model aimed at long-horizon research work that goes past search and report writing to act on files, data, code and tools. The card says it runs on AgentOS with an asynchronous agent team, holding task state, adapting its plan and coordinating parallel work. It has about 1,306 downloads and 88 likes.AI Models — Daily Top 5 https://huggingface.co/Qwen/Qwen3.8-Flash-Nexthttps://huggingface.co/Qwen/Qwen3.8-Flash-Next#2026-08-26Wed, 26 Aug 2026 00:00:00 GMTQwen published Qwen3.8-Flash-Next as post-trained weights in Hugging Face Transformers format, tagged for image-text-to-text use. The repo says the artifacts run under Transformers, vLLM, SGLang and TokenSpeed, and points users who want managed inference to the hosted Qwen API instead. It has drawn about 3,500 likes and 2,551 downloads.AI Models — Daily Top 5 https://huggingface.co/zai-org/GLM-5.3-Flashhttps://huggingface.co/zai-org/GLM-5.3-Flash#2026-08-26Wed, 26 Aug 2026 00:00:00 GMTZ.ai released GLM-5.3-Flash, which it calls the first natively multimodal model in the GLM-5 series. It carries 320 billion total parameters with 18 billion active, and the team says it beats GLM-5.2 across benchmarks and real workloads at a tenth of the price while approaching Claude Opus 4.8 on coding and agentic tests. The repo has about 705 likes.AI Models — Daily Top 5 https://huggingface.co/thomsonreuters/Thomson-1.0-Smallhttps://huggingface.co/thomsonreuters/Thomson-1.0-Small#2026-08-26Wed, 26 Aug 2026 00:00:00 GMTThomson Reuters released Thomson-1.0-Small, a foundation model it describes as proficient across specialized and general-purpose domains, alongside a technical report on continual learning of frontier models for sovereign AI. The weights ship in Hugging Face Transformers format, and the repo config identifies a Qwen3.5 mixture-of-experts architecture. It has about 109 likes and 214 downloads.AI Models — Daily Top 5 https://huggingface.co/alibaba-pai/MiniMax-H3-Fun-Controlnet-Unionhttps://huggingface.co/alibaba-pai/MiniMax-H3-Fun-Controlnet-Union#2026-08-25Tue, 25 Aug 2026 00:00:00 GMTAlibaba PAI published a ControlNet-Union checkpoint for the MiniMax-H3 video generator, trained with the VideoX-Fun pipeline. The single checkpoint conditions generation on Canny, Depth, HED, MLSD or Pose control videos and also performs video inpainting. It has about 2,200 downloads and 117 likes on Hugging Face.AI Models — Daily Top 5 https://huggingface.co/outsourc-e/Qwen3.8-27B-Unleashed-GGUFhttps://huggingface.co/outsourc-e/Qwen3.8-27B-Unleashed-GGUF#2026-08-25Tue, 25 Aug 2026 00:00:00 GMTAn abliterated build of Qwen3.8 27B is published as GGUF quantizations in nine tiers, using imatrix dynamic quants for local inference. The uploader says two low-bit tiers, UD-IQ1_M and UD-IQ2_S, briefly shipped broken and were withdrawn, then rebuilt and load-tested, so copies pulled before August 21 should be replaced.AI Models — Daily Top 5 https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensoredhttps://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored#2026-08-24Mon, 24 Aug 2026 00:00:00 GMTQwen3.8-27B-Uncensored is a community-modified build of Qwen3.8 27B, published as safetensors for transformers and tagged for image-text-to-text use. The repository carries the abliterated tag, marking a variant altered to remove the base model's refusal behavior. It is the day's only new model to trend on Hugging Face, with about 10,500 downloads and 162 likes.AI Models — Daily Top 5 https://huggingface.co/EschaLabs/Qwen3.8-27B-Escha-W2https://huggingface.co/EschaLabs/Qwen3.8-27B-Escha-W2#2026-08-23Sun, 23 Aug 2026 00:00:00 GMTEscha Labs published a 2-bit quantized build of Qwen3.8-27B that keeps the full 27B parameter count in 10.15 GB of weights. The card says the model, its KV cache, and a 64k context fit on a single 24 GB consumer card, or 128k context with a tuned config. It has drawn 1,892 downloads and 120 likes.AI Models — Daily Top 5 https://huggingface.co/Audio8/Audio8-TTS-Preview-0.1bhttps://huggingface.co/Audio8/Audio8-TTS-Preview-0.1b#2026-08-23Sun, 23 Aug 2026 00:00:00 GMTAudio8 released a 0.1B-parameter preview text-to-speech model that handles speech generation and zero-shot voice cloning. The card bills it as the smallest zero-shot TTS worth running and links audio samples alongside a companion GitHub repository. It has 1,093 downloads and 115 likes.AI Models — Daily Top 5 https://huggingface.co/incoai/Qwen3.8-27B-DFlash2-GGUFhttps://huggingface.co/incoai/Qwen3.8-27B-DFlash2-GGUF#2026-08-23Sun, 23 Aug 2026 00:00:00 GMTGGUF conversions of incoai's DFlash 2 draft model for Qwen3.8-27B. It is not a standalone language model: it runs inside a speculative decoding server and drafts tokens for the target model to verify. At 39,691 downloads it is by far the most pulled model on today's list.AI Models — Daily Top 5 https://huggingface.co/sensenova/SenseNova-U1.5-8B-MoThttps://huggingface.co/sensenova/SenseNova-U1.5-8B-MoT#2026-08-23Sun, 23 Aug 2026 00:00:00 GMTSenseNova's latest native unified multimodal checkpoint, built on NEO-unify and aimed at image generation and editing. The card credits strengthened patchify layers, better data quality and distribution, revised task formulation, prompt enhancement, and a reworked post-training pipeline, listing six user-visible improvements. It has 1,445 downloads and 112 likes.AI Models — Daily Top 5 https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731#2026-08-22Sat, 22 Aug 2026 00:00:00 GMTDeepSeek published the official release of V4-Flash, superseding the preview with what the card calls substantially enhanced agentic capabilities. It keeps the same structure as the DSpark variant, including an attached speculative decoding module, and the team reports it outperforming DeepSeek-V4-Pro (Preview) on the benchmarks listed. Close to 3 million downloads and 3,626 likes.AI Models — Daily Top 5 https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscalerhttps://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler#2026-08-22Sat, 22 Aug 2026 00:00:00 GMTThis is a neural upscaler that operates directly on Minimax H3's 24-channel video latents, raising spatial resolution while leaving the time dimension untouched. The intended workflow is to generate video cheaply at low resolution, upscale the latent in place, then refine at the target size. It has 156 likes and no recorded downloads yet.AI Models — Daily Top 5 https://huggingface.co/ornith-ai/Ornith-1.5-9B-GGUFhttps://huggingface.co/ornith-ai/Ornith-1.5-9B-GGUF#2026-08-22Sat, 22 Aug 2026 00:00:00 GMTOrnith-1.5 is a 9B model built around end-to-end self-improvement, extending Ornith-1.0, which was developed on top of Qwen3.5 and Gemma4 with extra continued pretraining and post-training. The new version widens the loop from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction and solution rollouts. The GGUF build has about 175,000 downloads.AI Models — Daily Top 5 https://huggingface.co/empero-ai/Qwen3.8-9B-Distill-GGUFhttps://huggingface.co/empero-ai/Qwen3.8-9B-Distill-GGUF#2026-08-22Sat, 22 Aug 2026 00:00:00 GMTEmpero released GGUF quantizations of its Qwen3.8-9B, a full-parameter distillation of the 2.4T-parameter Qwen3.8 A95B into the Qwen3.5-9B architecture. The files target llama.cpp, Ollama, LM Studio, Jan and KoboldCpp, and the card is deliberately limited to choosing a quant and running it. Downloads stand near 126,000.AI Models — Daily Top 5 https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUFhttps://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF#2026-08-22Sat, 22 Aug 2026 00:00:00 GMTThis community fine-tune of Qwen3.6-27B ships both regular and MTP Neo MAX imatrix GGUF quants, plus a range of other quant types. The author claims it is the first fine-tune to exceed 700 on ARC-C at both 8-bit and 4-bit. With nearly 2.9 million downloads and 2,203 likes, it is the most downloaded community fine-tune among today's trending models.AI Models — Daily Top 5 https://huggingface.co/superwhisper/s1-minihttps://huggingface.co/superwhisper/s1-mini#2026-08-21Fri, 21 Aug 2026 00:00:00 GMTSuperwhisper published S1-mini, a Qwen3-based text-generation model whose card points it at speech recognition work and, specifically, text normalization and inverse text normalization - the step that turns spoken words in a transcript into their written forms. The repository ships Transformers-format safetensors weights.AI Models — Daily Top 5 https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUFhttps://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF#2026-08-21Fri, 21 Aug 2026 00:00:00 GMTDavidAU released GGUF builds of a Cold Fusion fine-tune of Qwen3.8-27B, trained with a GAIN and Unsloth recipe the card says holds 99 percent of BF16 performance at both 8-bit and 4-bit. The card also claims the model spends between half and a tenth as many thinking tokens as the base while keeping its reasoning, and clears the 27B Qwen core benchmarks.AI Models — Daily Top 5 https://huggingface.co/peculiar-ragdoll/Qwen-Sharp-Chat-Templateshttps://huggingface.co/peculiar-ragdoll/Qwen-Sharp-Chat-Templates#2026-08-21Fri, 21 Aug 2026 00:00:00 GMTQwen Sharp Chat Templates is not a model but a set of drop-in chat templates for Qwen 3.5, 3.6 and 3.8, tagged for llama.cpp and MLX. The author says the Sharp template tunes those models for knowledge work and coding, and that Qwen3.8-27B at medium effort answers with fewer thinking tokens while getting more capable.AI Models — Daily Top 5 https://huggingface.co/ornith-ai/Ornith-1.5-9Bhttps://huggingface.co/ornith-ai/Ornith-1.5-9B#2026-08-21Fri, 21 Aug 2026 00:00:00 GMTornith-ai released Ornith-1.5-9B, which its card presents as a step toward building foundation models through end-to-end self-improvement. It extends Ornith-1.0, itself continued-pretrained and post-trained on top of Qwen3.5 and Gemma4, by widening the loop from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction and rollouts.AI Models — Daily Top 5 https://huggingface.co/incoai/Qwen3.8-27B-DFlash2https://huggingface.co/incoai/Qwen3.8-27B-DFlash2#2026-08-21Fri, 21 Aug 2026 00:00:00 GMTincoai published Qwen3.8-27B-DFlash2, a draft model for Qwen3.8-27B rather than a standalone language model. It runs inside a speculative decoding server, proposing tokens for the larger target model to verify, and is built on a block-diffusion approach with tags for SGLang.AI Models — Daily Top 5 https://huggingface.co/OBLITERATUS/Qwen3.8-27B-OBLITERATEDhttps://huggingface.co/OBLITERATUS/Qwen3.8-27B-OBLITERATED#2026-08-20Thu, 20 Aug 2026 00:00:00 GMTOBLITERATUS published an abliterated build of Alibaba's Qwen3.8-27B, claiming zero refusals across a set of 842 harmful prompts. The card describes six rounds of surgery on the weights using residue mining and multi-direction SVD, on the argument that refusal behavior is encoded as directions in activation space across dozens of layers rather than sitting in a system prompt. It has 223 likes on about 4,400 downloads.AI Models — Daily Top 5 https://huggingface.co/ornith-ai/Ornith-1.5-35B-A3Bhttps://huggingface.co/ornith-ai/Ornith-1.5-35B-A3B#2026-08-20Thu, 20 Aug 2026 00:00:00 GMTOrnith-1.5-35B-A3B is a mixture-of-experts model with 35 billion total parameters and roughly 3 billion active per token, presented as a step toward building foundation models through end-to-end self-improvement. It extends Ornith-1.0, which was developed on top of Qwen3.5 and Gemma4 with continued pretraining, mid-training and post-training. A GGUF conversion of the same weights has passed 53,000 downloads.AI Models — Daily Top 5 https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-GGUFhttps://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-GGUF#2026-08-20Thu, 20 Aug 2026 00:00:00 GMTorcarouter's uncensored GGUF build of Qwen3.8-27B is the most liked model on today's list, with 232 likes and more than 52,000 downloads. It is tagged for llama.cpp and for abliteration, and is labeled image-text-to-text, carrying the base model's vision input. The same team's MLX and FP8 conversions trended earlier this week.AI Models — Daily Top 5 https://huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUFhttps://huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF#2026-08-20Thu, 20 Aug 2026 00:00:00 GMTHuihui's GGUF release is an abliterated build of Qwen3.8-27B and the most downloaded model on today's list at more than 187,000 pulls. The card calls the method a crude proof of concept for removing refusals without TransformerLens, notes that the first 15 layers were retained without ablation, and flags multi-token prediction and the vision path as untouched.AI Models — Daily Top 5 https://huggingface.co/z-lab/Qwen3.8-27B-DFlash2https://huggingface.co/z-lab/Qwen3.8-27B-DFlash2#2026-08-20Thu, 20 Aug 2026 00:00:00 GMTDFlash 2 is a draft model for Qwen3.8-27B rather than a standalone language model: it runs inside a speculative decoding server and proposes tokens for the larger model to verify. It uses a block-diffusion drafting approach and is packaged for SGLang. The repo mirrors incoai/Qwen3.8-27B-DFlash2 and has about 12,200 downloads.AI Models — Daily Top 5 https://huggingface.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUFhttps://huggingface.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUF#2026-08-19Wed, 19 Aug 2026 00:00:00 GMTGGUF quantizations of an uncensored Qwen3.8-27B lead the day's model list with about 767,000 downloads. The build keeps the multi-token-prediction head that abliteration normally strips, re-saving the model through transformers and verifying the mtp tensors are present. The publisher says refusal behaviour is substantially reduced, not eliminated.AI Models — Daily Top 5 https://huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-abliteratedhttps://huggingface.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated#2026-08-19Wed, 19 Aug 2026 00:00:00 GMThuihui-ai published an abliterated Qwen3.8-27B that removes refusal directions without using TransformerLens. The first 15 layers are left unablated, and both the MTP head and the vision tower are unmodified. Its GGUF conversion trends alongside the weights, drawing more than 94,000 downloads of its own.AI Models — Daily Top 5 https://huggingface.co/empero-ai/Qwen3.8-9B-Distillhttps://huggingface.co/empero-ai/Qwen3.8-9B-Distill#2026-08-19Wed, 19 Aug 2026 00:00:00 GMTEmpero released Qwen3.8-9B, a full-parameter distillation of the 2.4T-parameter Qwen3.8 A95B model into the Qwen3.5-9B architecture. The student was trained on roughly 70,000 curated teacher traces from the team's internal set. Weights ship in Hugging Face Transformers format and run on vLLM and SGLang.AI Models — Daily Top 5 https://huggingface.co/AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16https://huggingface.co/AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16#2026-08-19Wed, 19 Aug 2026 00:00:00 GMTAEON-7 posted a BF16 abliteration of Qwen3.8-27B, labelled an early-access draft rather than a finished release. The vision tower and native MTP head are left as the unmodified base, and the publisher says the ablation targets coherence rather than a minimal KL divergence. A later NVFP4 version is planned from this full-precision master.AI Models — Daily Top 5 https://huggingface.co/AtomicChat/Qwen3.8-27B-GGUFhttps://huggingface.co/AtomicChat/Qwen3.8-27B-GGUF#2026-08-19Wed, 19 Aug 2026 00:00:00 GMTAtomic Chat built its own GGUF quantizations of Qwen3.8-27B from Qwen's original weights using an in-house importance matrix, and has drawn about 122,000 downloads. The calibration corpora behind the builds are public and the repo publishes per-quantization measurements. The model runs in the Atomic Chat client with thinking toggles.AI Models — Daily Top 5 https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-MLXhttps://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-MLX#2026-08-18Tue, 18 Aug 2026 00:00:00 GMTAn MLX build of an abliterated Qwen3.8-27B, packaged for Apple silicon and tagged by its publisher for red-teaming work. The multimodal checkpoint has drawn 209 likes and reports no downloads yet, one of several uncensored derivatives of Qwen's 27-billion-parameter model trending on the Hub today.AI Models — Daily Top 5 https://huggingface.co/HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFhttps://huggingface.co/HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF#2026-08-18Tue, 18 Aug 2026 00:00:00 GMTHauhauCS ships an aggressive uncensored variant of Qwen3.8-27B as GGUF with its FastMTP speculative decoding, claiming up to 3.02 times the document generation throughput of a non-MTP build and 35.2 percent more than standard embedded MTP. The publisher reports zero refusals across its own 465-prompt test.AI Models — Daily Top 5 https://huggingface.co/Blackfrost-AI/Qwen3.8-27B-ABLITERATED-GGUFhttps://huggingface.co/Blackfrost-AI/Qwen3.8-27B-ABLITERATED-GGUF#2026-08-18Tue, 18 Aug 2026 00:00:00 GMTBlackfrost published a full standard K-quant ladder, Q2_K through Q8_0, of its abliterated Qwen3.8-27B, with both vision projectors included and no importance-matrix quants. The dense multimodal build targets llama.cpp and has passed 134,000 downloads, the second highest among today's candidates.AI Models — Daily Top 5 https://huggingface.co/fal/MiniMax-H3-Realism-People-LoRAhttps://huggingface.co/fal/MiniMax-H3-Realism-People-LoRA#2026-08-18Tue, 18 Aug 2026 00:00:00 GMTfal published a LoRA adapter for the MiniMax H3 video model tuned for realistic people, covering close-up faces, skin texture, expressions and documentary-style camera movement. The card documents 19 before-and-after pairs generated at the same prompt and seed with the adapter on and off. Its 255 likes lead every model on today's list.AI Models — Daily Top 5 https://huggingface.co/0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFhttps://huggingface.co/0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF#2026-08-18Tue, 18 Aug 2026 00:00:00 GMTThis GGUF is a double-refined abliteration of Qwen3.8-27B, built on an existing ARA abliteration and given two further full-weight passes aimed at residual refusals. The publisher reports refusals dropping from 3 in 100 prompts to 0 or 1 while keeping behavioral damage low, at a KL of about 0.0085. It leads today's candidates with over 150,000 downloads.AI Models — Daily Top 5 https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-FP8https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored-FP8#2026-08-17Mon, 17 Aug 2026 00:00:00 GMTAn FP8 build of an abliterated Qwen3.8-27B, the multimodal checkpoint behind most of this week's top open-weight uploads. Refusal behavior is stripped rather than retrained, and the repo tags it for red-teaming use. It leads a cluster of uncensored repackagings of the same base model published in FP8, GGUF and BF16 formats.AI Models — Daily Top 5 https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressivehttps://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive#2026-08-17Mon, 17 Aug 2026 00:00:00 GMTAn uncensored multimodal build of the previous-generation Qwen3.6-27B, shipped as GGUF and reporting zero refusals across the publisher's 465-prompt test. The author steers most users to the Balanced sibling instead, citing the same refusal rate with more stable sampling for agentic coding and reasoning work. It carries 688 likes and roughly 333,000 downloads.AI Models — Daily Top 5 https://huggingface.co/CohereLabs/North-Micro-Vision-Instructhttps://huggingface.co/CohereLabs/North-Micro-Vision-Instruct#2026-08-17Mon, 17 Aug 2026 00:00:00 GMTCohere released North Micro Vision Instruct, a 2.4-billion-parameter open-weight vision-language model with native-resolution image support, under Apache 2.0. It is positioned as a compact base for prototyping, task-specific fine-tuning and specialized multimodal applications rather than as a frontier system.AI Models — Daily Top 5 https://huggingface.co/empero-ai/Qwen3.8-27B-Ridge-GGUFhttps://huggingface.co/empero-ai/Qwen3.8-27B-Ridge-GGUF#2026-08-17Mon, 17 Aug 2026 00:00:00 GMTA mixed-precision GGUF of the official Qwen3.8-27B checkpoint at about 3.7 bits per weight. Rather than applying a uniform quant ladder, the mix is probed for the model's architecture of 64 layers alternating Gated-DeltaNet and gated attention blocks. It targets llama.cpp, Ollama, LM Studio, jan and KoboldCpp.AI Models — Daily Top 5 https://huggingface.co/empero-ai/Qwen3.8-9Bhttps://huggingface.co/empero-ai/Qwen3.8-9B#2026-08-17Mon, 17 Aug 2026 00:00:00 GMTA full-parameter distillation of Qwen3.8 2.4T A95B into the 9-billion-parameter Qwen3.5 architecture, trained on roughly 70,000 curated teacher traces. The weights ship in Hugging Face Transformers format and run on vLLM, SGLang and other runtimes that already support Qwen3.5.AI Models — Daily Top 5 https://huggingface.co/unsloth/Qwen3.8-27B-NVFP4https://huggingface.co/unsloth/Qwen3.8-27B-NVFP4#2026-08-16Sun, 16 Aug 2026 00:00:00 GMTUnsloth published an NVFP4 quantization of Qwen3.8-27B built with its Dynamic V3.0 preview recipe, keeping multi-token prediction for faster inference and adding developer-role support for agentic tools such as Codex. The repo has drawn roughly 276,000 downloads and 196 likes. Qwen3.8-27B redistributions in NVFP4, FP8 and GGUF dominate the day's trending list.AI Models — Daily Top 5 https://huggingface.co/Comfy-Org/MiniMax-Music-3https://huggingface.co/Comfy-Org/MiniMax-Music-3#2026-08-16Sun, 16 Aug 2026 00:00:00 GMTComfy-Org repackaged MiniMax Music 3 for ComfyUI, shipping the diffusion transformer weights in fp16, fp32 and int8 along with full and pruned text encoders. The files drop straight into a local ComfyUI install, and the repository has collected 145 likes since MiniMax released the original model.AI Models — Daily Top 5 https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templateshttps://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates#2026-08-16Sun, 16 Aug 2026 00:00:00 GMTThis repository ships a single drop-in Jinja chat template that replaces the official ones for Qwen 3.5, 3.6 and 3.8, fixing rendering errors, KV cache invalidation, wasted tokens and stalls during agentic runs. It targets LM Studio, llama.cpp, vLLM and MLX, and has gathered more than 1,100 likes.AI Models — Daily Top 5 https://huggingface.co/TenStrip/10Eros-Maxhttps://huggingface.co/TenStrip/10Eros-Max#2026-08-16Sun, 16 Aug 2026 00:00:00 GMT10Eros-Max is an experimental video generation model that folds patterns learned from LTX 2.3, Wan 2.2 and the Krea 2 image model into a MiniMax H3 base. It uses a unified 52-block transformer with modality-specific projectors for video, audio and conditioning inputs, and supports both text-to-video and image-to-video.AI Models — Daily Top 5 https://huggingface.co/IndexTeam/IndexTTS-2.5https://huggingface.co/IndexTeam/IndexTTS-2.5#2026-08-16Sun, 16 Aug 2026 00:00:00 GMTIndexTTS-2.5 is a zero-shot text-to-speech model that clones a voice from a single reference clip, now covering Chinese, English, Japanese, Spanish and Arabic. The update adds speaking speed control, faster inference and better handling of Pinyin, CMU phonemes and Kana, with emotion control kept separate from timbre.AI Models — Daily Top 5 https://huggingface.co/Qwen/Qwen3.8-27B-FP8https://huggingface.co/Qwen/Qwen3.8-27B-FP8#2026-08-15Sat, 15 Aug 2026 00:00:00 GMTQwen published FP8 weights for its post-trained Qwen3.8-27B image-text model, quantized at fine granularity with a block size of 128. The repository ships in Hugging Face Transformers format and is listed as compatible with vLLM, SGLang and similar serving stacks, and third-party NVFP4 and abliterated repacks of the same base model are already circulating.AI Models — Daily Top 5 https://huggingface.co/Gazingstars123/Anima-2.9Bhttps://huggingface.co/Gazingstars123/Anima-2.9B#2026-08-15Sat, 15 Aug 2026 00:00:00 GMTAnima-2.9B is a text-to-image model for anime and illustration that is still in training, distributed as a single diffusion file. It is supported in ComfyUI and Forge-Neo, and the author has released a standalone LoRA trainer alongside an sd-scripts fork. The next stage is pretraining on 10M general samples to improve prompt understanding.AI Models — Daily Top 5 https://huggingface.co/dots-studio/dots3-note-prevhttps://huggingface.co/dots-studio/dots3-note-prev#2026-08-15Sat, 15 Aug 2026 00:00:00 GMTdots-studio released a preview of dots3-note, a multimodal model that handles audio alongside text and images. The card documents evaluations on general reasoning, agent tasks and multimodal understanding, with a full technical report still to come, and lists deployment paths through Transformers and SGLang.AI Models — Daily Top 5 https://huggingface.co/Cactus-Compute/needle2https://huggingface.co/Cactus-Compute/needle2#2026-08-15Sat, 15 Aug 2026 00:00:00 GMTNeedle 2 is a 45M-parameter open model for tool calling, device use and structured extraction that ships as a single 14MB binary and runs a full session in 28MB of RAM. Cactus Compute compressed it to roughly 2 bits with its own quantizer and engine, and reports it trading wins with small models 5x to 70x larger.AI Models — Daily Top 5 https://huggingface.co/Motif-Technologies/Motif-3https://huggingface.co/Motif-Technologies/Motif-3#2026-08-15Sat, 15 Aug 2026 00:00:00 GMTMotif 3 is a decoder-only mixture-of-experts language model with 314B total parameters and 13.2B activated per token, built in-house by Motif Technologies. Its architecture centers on Grouped Differential Latent Attention, which combines grouped differential attention with the compressed key-value representation used in multi-head latent attention.AI Models — Daily Top 5 https://huggingface.co/Qwen/Qwen3.8-27Bhttps://huggingface.co/Qwen/Qwen3.8-27B#2026-08-14Fri, 14 Aug 2026 00:00:00 GMTQwen published Qwen3.8-27B, a post-trained image-text-to-text model released under Apache 2.0 in Hugging Face Transformers format. The weights are compatible with Transformers, vLLM and SGLang, and community FP8, NVFP4 and GGUF builds appeared alongside the launch. It leads the day's list with 8,708 likes.AI Models — Daily Top 5 https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUFhttps://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF#2026-08-14Fri, 14 Aug 2026 00:00:00 GMTMeta Superintelligence Lab's Muse Glimmer 30B is now available in GGUF form for llama.cpp, bundling two quantized text builds, a perception encoder for image input and a drafter model for speculative decoding. The Apache 2.0 release drew 228,364 downloads, the most of any model in the day's list.AI Models — Daily Top 5 https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B-FP8https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B-FP8#2026-08-14Fri, 14 Aug 2026 00:00:00 GMTQwen also released an FP8 build of Qwen3.8-2.4T-A95B, a mixture-of-experts text model with 2.4 trillion total parameters and 95 billion active per token, served in Qwen Studio as qwen3.8-max. Quantization is fine-grained FP8 with a block size of 128, targeting vLLM and SGLang deployments.AI Models — Daily Top 5 https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16#2026-08-14Fri, 14 Aug 2026 00:00:00 GMTNVIDIA released Nemotron 3.5 Lightning in BF16, a 30-billion-parameter model with 3 billion parameters active per token, trained on the company's own pre-training and post-training datasets. It covers six languages and ships under the OpenMDW 1.1 license, with 34,137 downloads so far.AI Models — Daily Top 5