DeepSeek brings app features to its API, including search and voice
The November 13 API update exposes hosted search, document and speech capabilities; it does not announce a new model.
Read the story ↗AiBrainWorX news and models
Free-Range Gaussians reconstructs 3D scenes from sparse views—with separate weight terms
The research project pairs MIT-licensed code with access-controlled weights limited to noncommercial research.
Read the story ↗
Rime’s Coda v2 lets developers specify how words are pronounced
The hosted speech model adds per-request phoneme lexicons and separate streaming endpoints; the announcement dates to October.
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AWS shows how to evaluate model routing for coding agents
A new walkthrough combines NVIDIA NeMo Switchyard and LiteLLM with Bedrock, while warning that its sample is experimental and incurs cloud costs.
Read the story ↗
Tencent’s Hy ASR 3.0 report examines context-aware speech recognition
A technical report details multilingual transcription and contextual hints; the research paper is new, while the preview predates it.
Read the story ↗
Duo explores real-time audiovisual conversations, with a major license restriction
inclusionAI releases research code and model weights for full-duplex interaction; the model license has territorial limits.
Read the story ↗1 / 6
QwenText
Qwen3-0.6B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-1.7B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-4B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-8B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-14B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-32B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-30B-A3B
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. It offers thinking and non-thinking modes through its supported chat template.
View model details ↗QwenText
Qwen3-4B-Instruct-2507
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. This July 2025 Instruct release answers without a separate thinking mode.
View model details ↗QwenText
Qwen3-30B-A3B-Instruct-2507
An instruction-tuned Qwen text model for conversation, writing, coding and multilingual tasks. This July 2025 Instruct release answers without a separate thinking mode.
View model details ↗
HuggingFaceTBText
SmolLM2-135M-Instruct
A compact instruction-tuned language model from Hugging Face’s SmolLM2 family for lightweight text generation and on-device experiments.
View model details ↗HuggingFaceTBText
SmolLM2-360M-Instruct
A compact instruction-tuned language model from Hugging Face’s SmolLM2 family for lightweight text generation and on-device experiments.
View model details ↗HuggingFaceTBText
SmolLM2-1.7B-Instruct
A compact instruction-tuned language model from Hugging Face’s SmolLM2 family for lightweight text generation and on-device experiments.
View model details ↗HuggingFaceTBText
SmolLM3-3B
A 3B instruction model with optional reasoning, six supported languages and long-context training. Hugging Face publishes its training details and data-mixture information.
View model details ↗
mistralaiText
Mistral-7B-Instruct-v0.3
The v0.3 instruction release of Mistral 7B, adding its v3 tokenizer and function-calling support.
View model details ↗mistralaiText
Mistral-Nemo-Instruct-2407
A 12B instruction model jointly developed by Mistral AI and NVIDIA, with multilingual text capabilities and a 128K trained context window.
View model details ↗mistralaiText + images
Mistral-Small-3.1-24B-Instruct-2503
A 24B multimodal instruction model supporting text and image understanding, with a 128K context window.
View model details ↗mistralaiText
Mixtral-8x7B-Instruct-v0.1
An instruction-tuned mixture-of-experts text model that routes each token through selected experts.
View model details ↗
ibm-graniteText
granite-3.3-2b-instruct
An IBM Granite 3.3 instruction model for language tasks including tool use, retrieval-grounded answers, reasoning and multilingual conversations.
View model details ↗ibm-graniteText
granite-3.3-8b-instruct
An IBM Granite 3.3 instruction model for language tasks including tool use, retrieval-grounded answers, reasoning and multilingual conversations.
View model details ↗ibm-graniteText
granite-4.0-h-tiny
IBM’s 7B hybrid instruction model combines Mamba-style and attention layers with sparse experts, long context and instruction following.
View model details ↗
allenaiText
OLMo-2-1124-7B-Instruct
An Allen Institute for AI instruction-tuned OLMo 2 text model, accompanied by open training and research resources.
View model details ↗allenaiText
OLMo-2-0325-32B-Instruct
An Allen Institute for AI instruction-tuned OLMo 2 text model, accompanied by open training and research resources.
View model details ↗
deepseek-aiText
DeepSeek-R1-Distill-Qwen-1.5B
A Qwen-based distilled reasoning model trained using DeepSeek-R1 outputs for mathematical, coding and reasoning tasks.
View model details ↗deepseek-aiText
DeepSeek-R1-Distill-Qwen-7B
A Qwen-based distilled reasoning model trained using DeepSeek-R1 outputs for mathematical, coding and reasoning tasks.
View model details ↗deepseek-aiText
DeepSeek-R1-Distill-Qwen-14B
A Qwen-based distilled reasoning model trained using DeepSeek-R1 outputs for mathematical, coding and reasoning tasks.
View model details ↗deepseek-aiText
DeepSeek-R1-Distill-Qwen-32B
A Qwen-based distilled reasoning model trained using DeepSeek-R1 outputs for mathematical, coding and reasoning tasks.
View model details ↗
microsoftText
Phi-4-mini-instruct
Microsoft’s compact 3.8B instruction model for text reasoning, language understanding and tool-oriented tasks.
View model details ↗microsoftText
Phi-3-mini-4k-instruct
Microsoft’s 3.8B instruction-tuned Phi-3 Mini release with a 4K context window for compact text-generation workloads.
View model details ↗QwenText
Qwen2.5-0.5B-Instruct
An instruction-tuned Qwen2.5 text model for chat, structured answers, coding and multilingual writing.
View model details ↗QwenText
Qwen2.5-1.5B-Instruct
An instruction-tuned Qwen2.5 text model for chat, structured answers, coding and multilingual writing.
View model details ↗QwenText
Qwen2.5-7B-Instruct
An instruction-tuned Qwen2.5 text model for chat, structured answers, coding and multilingual writing.
View model details ↗QwenText
Qwen2.5-14B-Instruct
An instruction-tuned Qwen2.5 text model for chat, structured answers, coding and multilingual writing.
View model details ↗QwenText
Qwen2.5-32B-Instruct
An instruction-tuned Qwen2.5 text model for chat, structured answers, coding and multilingual writing.
View model details ↗DeepSeekText + images
DeepSeek-V4.1-Flash-1017
The October 17 update improves the publisher’s reported coding, reasoning, agent and visual evaluations while reducing output length and task time.
View model details ↗QwenText + images
Qwen3.8-Flash-Next
A multimodal sparse model combining linear and sparse attention, mixture-of-experts routing, n-gram embeddings and multi-token prediction.
View model details ↗QwenText + images
Qwen3.8-27B
A dense multimodal model using a hybrid of Gated DeltaNet and attention layers, with multi-token prediction and selectable reasoning behavior.
View model details ↗
Moonshot AIText + images; video understanding described by publisher
Kimi-K3
A native multimodal mixture-of-experts model for long-running coding, research and knowledge work, using Kimi Delta Attention and Attention Residuals.
View model details ↗
NVIDIAVideo + robot actions
Cosmos3-H-Dreams
An action-conditioned surgical world model that generates video from robot state and action inputs, rather than serving as a general chat assistant.
View model details ↗
GoogleText
gemma-3-270m-it
A very small instruction-tuned Gemma text model for focused tasks on resource-constrained hardware.
View model details ↗GoogleText
gemma-3-1b-it
Google’s compact instruction-tuned Gemma 3 text model for local and on-device applications.
View model details ↗GoogleText
functiongemma-270m-it
A tiny Gemma model specialized for translating requests into function-call structures.
View model details ↗GoogleText → vectors
embeddinggemma-300m
A compact multilingual embedding model for semantic retrieval and similarity, rather than answer generation.
View model details ↗Hugging FaceImages + text
SmolVLM-256M-Instruct
A small vision-language instruction model for image descriptions and questions with limited compute.
View model details ↗Hugging FaceImages + text
SmolVLM-500M-Instruct
A compact vision-language model for image-grounded conversation and lightweight visual experiments.
View model details ↗
hexgradText → audio
Kokoro-82M
A lightweight text-to-speech model with Apache-licensed weights for local speech synthesis.
View model details ↗QwenText → audio
Qwen3-TTS-12Hz-0.6B-Base
The small Qwen3-TTS Base checkpoint supports multilingual speech synthesis from reference voice audio.
View model details ↗QwenText → audio
Qwen3-TTS-12Hz-0.6B-CustomVoice
A small Qwen speech checkpoint for controllable synthesis with supported preset speaker identities.
View model details ↗
KyutaiText → audio
pocket-tts
A small CPU-oriented speech synthesis family for local voice applications.
View model details ↗
KittenMLText → audio
kitten-tts-mini-0.8
A compact Kitten speech model distributed for lightweight local text-to-speech generation.
View model details ↗KittenMLText → audio
kitten-tts-nano-0.8-fp32
A very small Kitten speech model aimed at local synthesis without a large GPU.
View model details ↗
Sentence TransformersText → vectors
all-MiniLM-L6-v2
A small sentence embedding model for English semantic search, clustering and similarity.
View model details ↗
BAAIText → vectors
bge-small-en-v1.5
A small English embedding checkpoint for retrieval-oriented text representations.
View model details ↗
OpenAIAudio → text
whisper-tiny
A tiny multilingual Whisper checkpoint for automatic speech recognition and speech translation.
View model details ↗GoogleImages → labels
mobilenet_v2_1.0_224
A compact MobileNet V2 image classifier pretrained for 224-by-224 image input.
View model details ↗
Wan-AIText → video
Wan 2.1 / small video
A compact text-to-video model for short creative scenes and effects experiments.
View model details ↗Wan-AIImage + audio + optional text → video
Wan 2.2 / speech-to-video
An audio-driven video model combining a reference image, speech and optional scene direction.
View model details ↗QwenCoding
Qwen2.5-Coder-0.5B-Instruct
A very small code-focused instruction model for completion, explanation and short programming tasks.
View model details ↗QwenCoding
Qwen2.5-Coder-1.5B-Instruct
A compact coding assistant candidate for local experiments on modest hardware.
View model details ↗QwenCoding
Qwen2.5-Coder-3B-Instruct
A code-focused model for users who want a middle ground between tiny and larger local coders.
View model details ↗QwenCoding
Qwen2.5-Coder-7B-Instruct
Instruction-following code generation, repair and explanation in a local-sized checkpoint.
View model details ↗QwenCoding
Qwen2.5-Coder-14B-Instruct
A larger dense coder for machines with more memory; select an appropriate quantization.
View model details ↗QwenCoding
Qwen2.5-Coder-32B-Instruct
A dense coding checkpoint for higher-memory workstations and careful offloading experiments.
View model details ↗OpenAISpeech recognition
whisper-base
A compact multilingual speech-to-text checkpoint for local transcription workflows.
View model details ↗OpenAISpeech recognition
whisper-small
A multilingual transcription model offering a different size and accuracy tradeoff from Whisper tiny.
View model details ↗OpenAISpeech recognition
whisper-medium
A larger Whisper transcription checkpoint for users with more compute available.
View model details ↗NVIDIASpeech recognition
parakeet-tdt-0.6b-v2
An English speech recognition checkpoint served through a compatible NeMo or converted ASR runtime.
View model details ↗HuggingFaceTBVision + video
SmolVLM2-256M-Video-Instruct
A small vision-language checkpoint for image and video understanding experiments.
View model details ↗Mistral AIAudio + text
Voxtral-Mini-3B-2507
An audio-language model for transcription and audio understanding with a supported runtime.
View model details ↗Wan-AIVideo generation
Wan2.2-TI2V-5B
A text/image-to-video checkpoint requiring a dedicated video pipeline and careful memory planning.
View model details ↗
SpeakLeash and ACC Cyfronet AGHText
Bielik-11B-v3.1-Instruct
An 11B multilingual text model emphasizing Polish and European languages, with reasoning and tool-call support.
View model details ↗
OpenFold Consortium and AlQuraishi LabBiomolecular structure
OpenFold3-preview
Research-preview biomolecular structure prediction for protein, DNA, RNA and small molecule complexes.
View model details ↗
RunwayRobotics
Praxis-1 DROID
A 27B world-action model checkpoint for DROID-style robot control, predicting video and action chunks.
View model details ↗
inclusionAIMultimodal
Duo-1.0-causal-base
Research checkpoint for full-duplex audiovisual interaction; model terms include territorial restrictions.
View model details ↗
169PiMultimodal
Alpie Seed
9B post-trained Qwen3.5 derivative with text, image and video support in supported implementations.
View model details ↗QwenSpeech recognition
Qwen3-ASR-1.7B
Qwen speech recognition base model; Typd uses a separately licensed fine-tuned adaptation.
View model details ↗
AI at MetaImage to 3D
Free-Range Gaussians
Gated research checkpoint for 3D Gaussian reconstruction from posed image views.
View model details ↗1 / 76
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