Open Source AI | Tech AI Latest https://techailatest.news/open-source-ai Open-weight and open-source AI: model releases from Meta, Mistral, DeepSeek, Qwen and others, Hugging Face news, licensing changes, and the open tools developers build on. Stories link to the model card, repository or license text, and the model page tracks each release. en Wed, 28 Oct 2026 15:33:48 GMT https://techailatest.news/icon-512.pngOpen Source AI | Tech AI Latesthttps://techailatest.news/open-source-ai Ant Group publishes Ling-3.1-flash-1019, a 560B open model that lifts its index score to 44https://techailatest.news/open-source-ai/ant-group-ling-3-1-flash-1019-updatehttps://techailatest.news/open-source-ai/ant-group-ling-3-1-flash-1019-updateTue, 27 Oct 2026 10:46:00 GMTTech AI LatestOpen Source AIAnt Group's inclusionAI published Ling-3.1-flash-1019 on 27 October 2026, a 560B-parameter MIT-licensed update with higher agent and science scores.Ant Group's inclusionAI team published Ling-3.1-flash-1019 on Hugging Face on 27 October 2026. It is a post-trained update of Ling-3.1-flash, an open-weight mixture-of-experts model with 560 billion total and 25 billion active parameters and a 1M-token context. The team says its Artificial Analysis Intelligence Index score rose from 41 to 44, with gains on agent and science benchmarks. The weights carry the MIT licence.

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]]> Liquid AI releases LFM3, six open 2B-class models for text, vision, audio and agents on deviceshttps://techailatest.news/open-source-ai/liquid-ai-lfm3-open-multimodal-edge-modelshttps://techailatest.news/open-source-ai/liquid-ai-lfm3-open-multimodal-edge-modelsTue, 27 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AILiquid AI released LFM3 on 27 October 2026: six open-weight models of about 2B parameters for text, vision, audio and omni tasks that run on phones and laptops.Liquid AI released LFM3 on 27 October 2026, a new generation of its Liquid Foundation Models. The first release has six open-weight models of about 2B parameters covering text, vision, audio, omni and decision tasks, all built on one LFM3-1.7B-Base backbone trained on 22T tokens. The text model has a 256K-token context and fits in about 1 GB at 4-bit precision. Commercial use is free for organisations under $10 million in annual revenue.

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]]> Hugging Face runs Transformers and Diffusers natively on Google TPUs through TorchTPUhttps://techailatest.news/open-source-ai/hugging-face-torchtpu-native-tpu-supporthttps://techailatest.news/open-source-ai/hugging-face-torchtpu-native-tpu-supportTue, 20 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AIHugging Face said on 20 October 2026 that Transformers, Diffusers and Kernels run natively on Google TPUs through TorchTPU, replacing the torch_xla route.Hugging Face announced on 20 October 2026 that its Transformers, Diffusers and Kernels libraries now run natively on Google Cloud TPUs through TorchTPU, a new PyTorch backend from Google. Developers load a model with device_map set to tpu and run regular PyTorch code, without porting to torch_xla or JAX. Hugging Face says 96.5% of the transformers tests that run on TPU pass, and that its older Optimum TPU library is no longer required.

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]]> DeepSeek ships V4.1-Flash-1017 update with MIT weights and higher agent and coding scoreshttps://techailatest.news/open-source-ai/deepseek-v4-1-flash-1017-open-weightshttps://techailatest.news/open-source-ai/deepseek-v4-1-flash-1017-open-weightsSat, 17 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AIDeepSeek released V4.1-Flash-1017 on 17 October 2026, an MIT-licensed update it says scores higher with shorter outputs, now serving the deepseek-flash API.DeepSeek released DeepSeek-V4.1-Flash-1017 on 17 October 2026, a minor update to V4.1-Flash with open weights under the MIT license. DeepSeek says it scores higher on reasoning, coding, agentic and visual benchmarks while finishing tasks faster with shorter outputs. It now serves the deepseek-flash API model with a 1M-token context, priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens at peak, and half that off-peak.

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]]> Reflection AI releases Beam weights: a 501B open model under Apache 2.0 with 1M contexthttps://techailatest.news/open-source-ai/reflection-beam-501b-open-weights-apachehttps://techailatest.news/open-source-ai/reflection-beam-501b-open-weights-apacheFri, 16 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AIReflection AI released Beam on 16 October 2026: a 501B mixture-of-experts model with 23B active parameters, 1M context and Apache 2.0 weights.Reflection AI released the weights of Beam, its first open-weight model, on 16 October 2026 under the Apache 2.0 license. Beam is a text-only mixture-of-experts model with 501B total and 23B active parameters and a 1M-token context, built for coding, reasoning and agentic work. The release follows the 5 October announcement and includes BF16, FP8 and NVFP4 weights, a model card, a safety report and a public beta of the Reflection API.

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]]> Meta releases Muse Spark Open, an 816B open-weight model under the Muse Model Licensehttps://techailatest.news/open-source-ai/meta-muse-spark-open-816b-weights-licensehttps://techailatest.news/open-source-ai/meta-muse-spark-open-816b-weights-licenseThu, 15 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AIMeta released Muse Spark Open on 15 October 2026: 816B parameters, 42B active, 1M context, under a license that adds a $20M revenue rule for hosting.Meta released the weights of Muse Spark Open on 15 October 2026, a multimodal mixture-of-experts model with 816B total and 42B active parameters and a 1M-token context. It ships under the Muse Model License, not a standard open-source license. The license allows commercial use, fine-tuning and distillation, but requires a "Built with Muse Spark Open" notice and a separate agreement with Meta for Model as a Service businesses with more than $20 million in annual revenue.

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]]> NVIDIA releases Nemotron 3.5 Bolt, a 74B open model packed into 24GB for local agentshttps://techailatest.news/open-source-ai/nvidia-nemotron-3-5-bolt-74b-local-agentshttps://techailatest.news/open-source-ai/nvidia-nemotron-3-5-bolt-74b-local-agentsThu, 15 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AINVIDIA released Nemotron 3.5 Bolt 74B-A9B on 15 October 2026, an open-weight vision-language model quantized to 2 bits so it runs in 24GB for local agents.NVIDIA released Nemotron 3.5 Bolt 74B-A9B 24GB on Hugging Face on 15 October 2026. The open-weight model has 74 billion total and 9 billion active parameters, a 256K-token context and image and video input. NVIDIA compressed it from Nemotron 3.5 Super VL and quantized most weights to about 2 bits, so it fits in 24GB of memory. It targets local agents on RTX and DGX Spark hardware under the OpenMDW 1.1 license.

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]]> IBM releases Granite Switch 4.1, putting chat, decisions and speech in one 8B or 30B modelhttps://techailatest.news/open-source-ai/ibm-granite-switch-adapters-speech-one-modelhttps://techailatest.news/open-source-ai/ibm-granite-switch-adapters-speech-one-modelWed, 14 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AIIBM released Granite Switch 4.1 in 8B and 30B sizes on 14 October 2026, bundling a base model, two aLoRA adapters and a speech encoder under Apache 2.0.IBM released Granite Switch 4.1 on 14 October 2026 in 8B and 30B sizes under Apache 2.0. Each checkpoint combines a Granite 4.1 base model, a Decision adapter, a Guardian safety adapter and a 470M-parameter English speech encoder, so one endpoint can handle chat, classification decisions and transcription. IBM says the adapters share the base model's KV cache and use about the same GPU memory as the base model alone. Both sizes have a 131,072-token context.

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]]> Aleph Alpha releases Kolibri-1, a 78B German-English model with Apache 2.0 weightshttps://techailatest.news/open-source-ai/aleph-alpha-kolibri-1-german-open-weightshttps://techailatest.news/open-source-ai/aleph-alpha-kolibri-1-german-open-weightsSat, 03 Oct 2026 09:00:00 GMTTech AI LatestOpen Source AIAleph Alpha released Kolibri-1 on 3 October 2026: a 78B mixture-of-experts model with 3.46B active parameters, 1M context and Apache 2.0 weights.Aleph Alpha released Kolibri-1 on 3 October 2026, a German and English reasoning model with open weights under Apache 2.0. It is a mixture-of-experts model with 78B total and 3.46B active parameters and a context of up to 1,048,576 tokens. It was trained from scratch on infrastructure in Germany and Finland. The license covers only the weights and configuration files, and Aleph Alpha targets public administration, industry and aerospace.

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]]> Hugging Face transformers now runs llama.cpp GGUF quants on Apple Silicon with ggml kernelshttps://techailatest.news/open-source-ai/hugging-face-transformers-runs-llama-cpp-ggufhttps://techailatest.news/open-source-ai/hugging-face-transformers-runs-llama-cpp-ggufTue, 22 Sep 2026 10:00:00 GMTTech AI LatestOpen Source AIHugging Face added packed GGUF inference to transformers on 22 September 2026, reusing ggml Metal kernels so quantized llama.cpp checkpoints run on Macs.Hugging Face said on 22 September 2026 that transformers can now load and run GGUF files, the quantized format created by llama.cpp, directly from the Hub. On Apple Silicon the weights stay packed and run on ggml's Metal kernels, distributed through the kernels library. The first release covers Qwen3.5 and compatible Qwen3.8 checkpoints. Hugging Face says speed is close to llama.cpp, which it still recommends when efficient local inference is the priority.

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]]> Xiaomi open-sources MiMo-V2.6 Pro, a 1.02T-parameter omnimodal model, under the MIT licencehttps://techailatest.news/open-source-ai/xiaomi-mimo-v2-6-open-weights-mit-licensehttps://techailatest.news/open-source-ai/xiaomi-mimo-v2-6-open-weights-mit-licenseTue, 22 Sep 2026 09:00:00 GMTTech AI LatestOpen Source AIXiaomi released MiMo-V2.6-Pro and MiMo-V2.6-Flash on 22 September 2026 with open MIT weights, a 1M-token context and API prices unchanged from V2.5.Xiaomi released the MiMo-V2.6 series on 22 September 2026 with open weights under the MIT licence. MiMo-V2.6-Pro is a mixture-of-experts model with 1.02 trillion total and 42 billion active parameters, and MiMo-V2.6-Flash has 309 billion and 15 billion. Both take text, image, video and audio and handle 1 million tokens of context. Xiaomi also published its RL training code and environments, and kept API prices at V2.5 levels.

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]]> Alibaba puts Qwen-Image-2.1 under a non-commercial licence after Apache 2.0 predecessorshttps://techailatest.news/open-source-ai/qwen-image-2-1-non-commercial-research-licensehttps://techailatest.news/open-source-ai/qwen-image-2-1-non-commercial-research-licenseSun, 20 Sep 2026 09:00:00 GMTTech AI LatestOpen Source AIQwen-Image-2.1, released on 20 September 2026, ships under the Qwen Research License for non-commercial use only. Earlier Qwen-Image models used Apache 2.0.Alibaba's Qwen team released Qwen-Image-2.1 on 20 September 2026, an open-weight image generation and editing model with a 7-billion-parameter generation component. The weights ship under the Qwen Research License Agreement, which grants rights for non-commercial purposes only. Earlier Qwen-Image releases on Hugging Face carry the Apache 2.0 licence, which allows commercial use. Companies that want to use Qwen-Image-2.1 in products now need a separate commercial licence from Alibaba's Tongyi lab.

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