Unreal Engine 5.9 preview brings AI agents directly into the editor
Epic’s MegaJam preview connects Codex and other agents to Unreal MCP, introduces Canvas and expands Python tools—with important preview limitations.
Read the story ↗AiBrainWorX news and models
CrossnoKaye describes an AI assistant grounded in industrial plant data
AWS describes how CrossnoKaye combines plant data with sandboxed Python for engineering questions.
Read the story ↗
NVIDIA introduces GR00T 2 and new robot training tools
NVIDIA describes a world action model, simulation updates and benchmarks for robot manipulation. Its reported results remain company claims.
Read the story ↗
MOSS-Live explores an AI assistant that can listen while it speaks
OpenMOSS describes a hosted real-time system combining conversation, camera input and background tasks. Its public repository does not establish that weights are available.
Read the story ↗
PLaMo 3 Translate brings four translation models to local devices
Preferred Networks released weights in sizes from 0.8B to 31B; commercial use has registration and revenue conditions.
Read the story ↗
Underdog Woof puts a small speech model on the CPU—with commercial limits
The publisher offers compact one- and two-voice models; commercial use and generated audio have separate license requirements.
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 ↗1 / 69
Latest stories
NEWEST FIRSTUnreal Engine 5.9 preview brings AI agents directly into the editor
Epic’s MegaJam preview connects Codex and other agents to Unreal MCP, introduces Canvas and expands Python tools—with important preview limitations.
CrossnoKaye describes an AI assistant grounded in industrial plant data
AWS describes how CrossnoKaye combines plant data with sandboxed Python for engineering questions.
NVIDIA introduces GR00T 2 and new robot training tools
NVIDIA describes a world action model, simulation updates and benchmarks for robot manipulation. Its reported results remain company claims.
MOSS-Live explores an AI assistant that can listen while it speaks
OpenMOSS describes a hosted real-time system combining conversation, camera input and background tasks. Its public repository does not establish that weights are available.
PLaMo 3 Translate brings four translation models to local devices
Preferred Networks released weights in sizes from 0.8B to 31B; commercial use has registration and revenue conditions.
Underdog Woof puts a small speech model on the CPU—with commercial limits
The publisher offers compact one- and two-voice models; commercial use and generated audio have separate license requirements.
Serve Robotics opens its fleet infrastructure to other robotics companies
The company says its new service combines connectivity, data curation and training data; Bedrock Robotics is a launch customer.
Hydrogen-1.0 brings a 753B open-weight model to scientific questions
Deep Principle builds on GLM-5.3 for research assistance, but the unquantized checkpoint has substantial hardware requirements.
Tencent researchers describe WeLM-Image for generation and multi-image editing
A WeChat Vision report combines image generation and editing in one system, with a single-GPU demonstration on data-center hardware.
GPT-6 Cyber reaches selected security researchers with a higher-risk designation
OpenAI says its security-specialized model finds vulnerabilities, but access is restricted and its safety scores are evaluation results, not guarantees.
Ampersand is built to know when to stay quiet in a group chat
Vercel says the Humans& model chooses whether to contribute or pass; its gateway promotion has a stated end date.
Baidu's Apollo World puts robotaxis through simulated trips
The company describes an interactive testing environment for autonomous driving; simulation is not evidence that a vehicle is safe on every road.
Dharma's small document model turns requested fields into structured data
The company's own benchmark compares a specialized 2B extractor with larger models; the results and deployment details deserve separate scrutiny.
Mistral's Timestral targets forecasts with models as small as 5 million parameters
The family is designed for time-series forecasting rather than chat, and its modified license needs a close read.