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Company: "qwen"
Gemini 2.5 Pro (06-05) launched at AI Engineer World's Fair
gemini-2.5-pro qwen3-embedding-8b openthinker3-7b google qwen lighton morph-labs openai nvidia benchmarking reasoning coding math embedding-models late-interaction dataset-release model-performance model-architecture ai-conferences greg_brockman jensen_huang christian_szegedy swyx
At the second day of AIE, Google's Gemini 2.5 Pro reclaimed the top spot on the LMArena leaderboard with a score of 1470 and a +24 Elo increase, showing improvements in coding, reasoning, and math. Qwen3 released state-of-the-art embedding and reranking models, with Qwen3-Embedding-8B topping the MTEB multilingual leaderboard. OpenThinker3-7B emerged as the top open reasoning model trained on the OpenThoughts3-1.2M dataset, outperforming previous models by 33%. LightOn introduced FastPlaid, achieving up to a 554% speedup for late-interaction models. Morph Labs hired Christian Szegedy as Chief Scientist to lead Verified Superintelligence development. The AI Engineer World's Fair featured a fireside chat with Greg Brockman and NVIDIA CEO Jensen Huang, highlighting the return of basic research and engineering best practices.
not much happened today
codex claude-4-opus claude-4-sonnet gemini-2.5-pro gemini-2.5 qwen-2.5-vl qwen-3 playdiffusion openai anthropic google perplexity-ai bing playai suno hugging-face langchain-ai qwen mlx assemblyai llamacloud fine-tuning model-benchmarking text-to-video agentic-ai retrieval-augmented-generation open-source-models speech-editing audio-processing text-to-speech ultra-low-latency multimodality public-notebooks sama gdb kevinweil lmarena_ai epochairesearch reach_vb wightmanr deeplearningai mervenoyann awnihannun jordirib1 aravsrinivas omarsar0 lioronai jerryjliu0 nerdai tonywu_71 _akhaliq clementdelangue _mfelfel
OpenAI rolled out Codex to ChatGPT Plus users with internet access and fine-grained controls, improving memory features for free users. Anthropic's Claude 4 Opus and Sonnet models lead coding benchmarks, while Google's Gemini 2.5 Pro and Flash models gain recognition with new audio capabilities. Qwen 2.5-VL and Qwen 3 quantizations are noted for versatility and support. Bing Video Creator launched globally enabling text-to-video generation, and Perplexity Labs sees increased demand for travel search. New agentic AI tools and RAG innovations include LlamaCloud and FedRAG. Open-source releases include Holo-1 for web navigation and PlayAI's PlayDiffusion for speech editing. Audio and multimodal advances feature Suno's music editing upgrades, Google's native TTS in 24+ languages, and Universal Streaming's ultra-low latency speech-to-text. Google NotebookLM now supports public notebooks. "Codex's internet access brings tradeoffs, with explicit warnings about risk" and "Gemini 2.5 Pro is cited as a daily driver by users".
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deepseek-r1-0528 pali-gemma-2 gemma-3 shieldgemma-2 txgemma gemma-3-qat gemma-3n-preview medgemma dolphingemma signgemma claude-4 opus-4 claude-sonnet-4 codestral-embed bagel qwen nemotron-cortexa gemini-2.5-pro deepseek-ai huggingface gemma claude bytedance qwen nemotron sakana-ai-labs benchmarking model-releases multimodality code-generation model-performance long-context reinforcement-learning model-optimization open-source yuchenj_uw _akhaliq clementdelangue osanseviero alexalbert__ guillaumelample theturingpost lmarena_ai epochairesearch scaling01 nrehiew_ ctnzr
DeepSeek R1 v2 model released with availability on Hugging Face and inference partners. The Gemma model family continues prolific development including PaliGemma 2, Gemma 3, and others. Claude 4 and its variants like Opus 4 and Claude Sonnet 4 show top benchmark performance, including new SOTA on ARC-AGI-2 and WebDev Arena. Codestral Embed introduces a 3072-dimensional code embedder. BAGEL, an open-source multimodal model by ByteDance, supports reading, reasoning, drawing, and editing with long mixed contexts. Benchmarking highlights include Nemotron-CORTEXA topping SWEBench and Gemini 2.5 Pro performing on VideoGameBench. Discussions on random rewards effectiveness focus on Qwen models. "Opus 4 NEW SOTA ON ARC-AGI-2. It's happening - I was right" and "Claude 4 launch has dev moving at a different pace" reflect excitement in the community.
Mistral's Agents API and the 2025 LLM OS
qwen claude-4 chatgpt o3 o4 mistral-ai langchain-ai openai meta-ai-fair agent-frameworks multi-agent-systems tool-use code-execution web-search model-context-protocol persistent-memory function-calling open-source no-code reinforcement-learning model-performance agent-orchestration omarsar0 simonw swyx scaling01
The LLM OS concept has evolved since 2023, with Mistral AI releasing a new Agents API that includes code execution, web search, persistent memory, and agent orchestration. LangChainAI introduced the Open Agent Platform (OAP), an open-source no-code platform for intelligent agents. OpenAI plans to develop ChatGPT into a super-assistant by H1 2025, competing with Meta. Discussions around Qwen models focus on reinforcement learning effects, while Claude 4 performance is also noted. The AI Engineer World's Fair is calling for volunteers.
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kernelllm-8b gpt-4o deepseek-v3 mistral-medium-3 qwen3 blip3-o xgen-small anisora stable-audio-open-small alphaevolve meta-ai-fair mistral-ai qwen deepseek salesforce bilibili stability-ai google benchmarking model-performance multilinguality hardware-optimization multimodality image-generation video-generation text-to-audio model-parallelism chain-of-thought instruction-following reasoning mitigation-strategies reach_vb lmarena_ai theadimeline adcock_brett jxmnop dair_ai omarsar0
Meta released KernelLLM 8B, outperforming GPT-4o and DeepSeek V3 on KernelBench-Triton Level 1. Mistral Medium 3 debuted strongly in multiple benchmarks. Qwen3 models introduced a unified framework with multilingual support. DeepSeek-V3 features hardware-aware co-design. BLIP3-o family released for multimodal tasks using diffusion transformers. Salesforce launched xGen-Small models excelling in long-context and math benchmarks. Bilibili released AniSORA for anime video generation. Stability AI open-sourced Stable Audio Open Small optimized for Arm devices. Google’s AlphaEvolve coding agent improved Strassen's algorithm for the first time since 1969. Research shows chain-of-thought reasoning can harm instruction-following ability, with mitigation strategies like classifier-selective reasoning being most effective, but reasoning techniques show high variance and limited generalization. "Chain-of-thought (CoT) reasoning can harm a model’s ability to follow instructions" and "Mitigation strategies such as few-shot in-context learning, self-reflection, self-selective reasoning, and classifier-selective reasoning can counteract reasoning-induced failures".
ChatGPT Codex, OpenAI's first cloud SWE agent
codex-1 openai-o3 codex-mini gemma-3 blip3-o qwen-2.5 marigold-iid deepseek-v3 lightlab gemini-2.0 lumina-next openai runway salesforce qwen deepseek google google-deepmind j1 software-engineering parallel-processing multimodality diffusion-models depth-estimation scaling-laws reinforcement-learning fine-tuning model-performance multi-turn-conversation reasoning audio-processing sama kevinweil omarsar0 iscienceluvr akhaliq osanseviero c_valenzuelab mervenoyann arankomatsuzaki jasonwei demishassabis philschmid swyx teortaxestex jaseweston
OpenAI launched Codex, a cloud-based software engineering agent powered by codex-1 (an optimized version of OpenAI o3) available in research preview for Pro, Enterprise, and Team ChatGPT users, featuring parallel task execution like refactoring and bug fixing. The Codex CLI was enhanced with quick sign-in and a new low-latency model, codex-mini. Gemma 3 is highlighted as the best open model runnable on a single GPU. Runway released the Gen-4 References API for style transfer in generation. Salesforce introduced BLIP3-o, a unified multimodal model family using diffusion transformers for CLIP image features. The Qwen 2.5 models (1.5B and 3B versions) were integrated into the PocketPal app with various chat templates. Marigold IID, a new state-of-the-art open-source depth estimation model, was released.
In research, DeepSeek shared insights on scaling and hardware for DeepSeek-V3. Google unveiled LightLab, a diffusion-based light source control in images. Google DeepMind's AlphaEvolve uses Gemini 2.0 to discover new math and reduce costs without reinforcement learning. Omni-R1 studied audio's role in fine-tuning audio LLMs. Qwen proposed a parallel scaling law inspired by classifier-free guidance. Salesforce released Lumina-Next on the Qwen base, outperforming Janus-Pro. A study found LLM performance degrades in multi-turn conversations due to unreliability. J1 is incentivizing LLM-as-a-Judge thinking via reinforcement learning. A new Qwen study correlates question and strategy similarity to predict reasoning strategies.
Prime Intellect's INTELLECT-2 and PRIME-RL advance distributed reinforcement learning
intellect-2 dreamo qwen gemini-2.5-pro dynamic-byte-latent-transformer gen-4-references mistral-medium-3 le-chat-enterprise primeintellect bytedance qwen gemma meta-ai-fair runwayml mistral-ai google distributed-training reinforcement-learning gpu-clusters model-optimization quantization multimodality agentic-ai video-understanding fine-tuning _akhaliq reach_vb osanseviero aiatmeta c_valenzuelab lmarena_ai adcock_brett
Prime Intellect released INTELLECT-2, a decentralized GPU training and RL framework with a vision for distributed AI training overcoming colocation limits. ByteDance launched DreamO, a unified image customization model on Hugging Face. Qwen released models optimized for GPTQ, GGUF, and AWQ quantization. Gemma surpassed 150 million downloads on Hugging Face. Meta released weights for the Dynamic Byte Latent Transformer and the Collaborative Reasoner framework to improve language model efficiency and reasoning. RunwayML introduced Gen-4 References, a near-realtime model requiring no fine-tuning. Mistral AI released Mistral Medium 3, a strong multimodal model, and Le Chat Enterprise, an agentic AI assistant for business. Google updated Gemini 2.5 Pro Preview with video understanding and UI improvements. "Airbnb for spare GPUs from all over the world" highlights the ongoing challenges and potential of distributed GPU training.
not much happened today
chatgpt-4o deepseek-r1 o3 o3-mini gemini-2-flash qwen-2.5 qwen-0.5b hugging-face openai perplexity-ai deepseek-ai gemini qwen metr_evals reasoning benchmarking model-performance prompt-engineering model-optimization model-deployment small-language-models mobile-ai ai-agents speed-optimization _akhaliq aravsrinivas lmarena_ai omarsar0 risingsayak
Smolagents library by Huggingface continues trending. ChatGPT-4o latest version
chatgpt-40-latest-20250129 released. DeepSeek R1 671B sets speed record at 198 t/s, fastest reasoning model, recommended with specific prompt settings. Perplexity Deep Research outperforms models like Gemini Thinking, o3-mini, and DeepSeek-R1 on Humanity's Last Exam benchmark with 21.1% score and 93.9% accuracy on SimpleQA. ChatGPT-4o ranks #1 on Arena leaderboard in multiple categories except math. OpenAI's o3 model powers Deep Research tool for ChatGPT Pro users. Gemini 2 Flash and Qwen 2.5 models support LLMGrading verifier. Qwen 2.5 models added to PocketPal app. MLX shows small LLMs like Qwen 0.5B generate tokens at high speed on M4 Max and iPhone 16 Pro. Gemini Flash 2.0 leads new AI agent leaderboard. DeepSeek R1 is most liked on Hugging Face with over 10 million downloads. s1: Simple test-time scaling (and Kyutai Hibiki)
qwen-2.5-32b gemini-2.0-flash smollm2 granite-vision-3.1-2b google-deepmind qwen gemini hugging-face ibm deepseek reasoning fine-tuning scaling-laws open-source-models data-centric-training vision multilingual-models language-model-reasoning niklas-muennighoff
"Wait" is all you need introduces a novel reasoning model finetuned from Qwen 2.5 32B using just 1000 questions with reasoning traces distilled from Gemini 2.0 Flash Thinking, enabling controllable test-time compute by appending "Wait" to extend reasoning. Lead author Niklas Muennighoff, known for work on Bloom, StarCoder, and BIG-bench, highlights this method's efficiency and its reproduction of the famous o1 scaling chart. Additionally, Kyutai Moshi's Hibiki project demonstrates impressive offline French-English live translation on iPhone. Recent AI model releases include DeepSeek R1 and R3 open source models, potentially marking a major open-source milestone, Hugging Face's SmolLM2 emphasizing data-centric training for small LMs, and IBM's Granite-Vision-3.1-2B, a small vision-language model with strong performance. Key research papers spotlight LIMO for minimal demonstration reasoning achieving high accuracy on AIME and MATH benchmarks, and Token-Assisted Reasoning mixing latent and text tokens to improve language model reasoning.
TinyZero: Reproduce DeepSeek R1-Zero for $30
deepseek-r1 qwen o1 claude-3-sonnet claude-3 prime ppo grpo llama-stack deepseek berkeley hugging-face meta-ai-fair openai deeplearningai reinforcement-learning fine-tuning chain-of-thought multi-modal-benchmark memory-management model-training open-source agentic-workflow-automation model-performance jiayi-pan saranormous reach_vb lmarena_ai nearcyan omarsar0 philschmid hardmaru awnihannun winglian
DeepSeek Mania continues to reshape the frontier model landscape with Jiayi Pan from Berkeley reproducing the OTHER result from the DeepSeek R1 paper, R1-Zero, in a cost-effective Qwen model fine-tune for two math tasks. A key finding is a lower bound to the distillation effect at 1.5B parameters, with RLCoT reasoning emerging as an intrinsic property. Various RL techniques like PPO, DeepSeek's GRPO, or PRIME show similar outcomes, and starting from an Instruct model speeds convergence. The Humanity’s Last Exam (HLE) Benchmark introduces a challenging multi-modal test with 3,000 expert-level questions across 100+ subjects, where models perform below 10%, with DeepSeek-R1 achieving 9.4%. DeepSeek-R1 excels in chain-of-thought reasoning, outperforming models like o1 while being 20x cheaper and MIT licensed. The WebDev Arena Leaderboard ranks DeepSeek-R1 #2 in technical domains and #1 under Style Control, closing in on Claude 3.5 Sonnet. OpenAI's Operator is deployed to 100% of Pro users in the US, enabling tasks like ordering meals and booking reservations, and functions as a research assistant for AI paper searches and summaries. Hugging Face announces a leadership change after significant growth, while Meta AI releases the first stable version of Llama Stack with streamlined upgrades and automated verification. DeepSeek-R1's open-source success is celebrated, and technical challenges like memory management on macOS 15+ are addressed with residency sets in MLX for stability.
DeepSeek R1: o1-level open weights model and a simple recipe for upgrading 1.5B models to Sonnet/4o level
deepseek-r1 deepseek-v3 qwen-2.5 llama-3.1 llama-3.3-70b deepseek ollama qwen llama reinforcement-learning fine-tuning model-distillation model-optimization reasoning reward-models multi-response-sampling model-training
DeepSeek released DeepSeek R1, a significant upgrade over DeepSeek V3 from just three weeks prior, featuring 8 models including full-size 671B MoE models and multiple distillations from Qwen 2.5 and Llama 3.1/3.3. The models are MIT licensed, allowing finetuning and distillation. Pricing is notably cheaper than o1 by 27x-50x. The training process used GRPO (reward for correctness and style outcomes) without relying on PRM, MCTS, or reward models, focusing on reasoning improvements through reinforcement learning. Distilled models can run on Ollama and show strong capabilities like writing Manim code. The release emphasizes advances in reinforcement-learning, fine-tuning, and model-distillation with a novel RL framework from DeepSeekMath.
small little news items
r7b llama-3-70b minicpm-o-2.6 gpt-4v qwen2.5-math-prm ollama cohere togethercompute openbmb qwen langchain openai rag tool-use-tasks quality-of-life new-engine multimodality improved-reasoning math-capabilities process-reward-models llm-reasoning mathematical-reasoning beta-release task-scheduling ambient-agents email-assistants ai-software-engineering codebase-analysis test-case-generation security-infrastructure llm-scaling-laws power-law plateauing-improvements gans-revival
Ollama enhanced its models by integrating Cohere's R7B, optimized for RAG and tool use tasks, and released Ollama v0.5.5 with quality updates and a new engine. Together AI launched the Llama 3.3 70B multimodal model with improved reasoning and math capabilities, while OpenBMB introduced the MiniCPM-o 2.6, outperforming GPT-4V on visual tasks. Insights into Process Reward Models (PRM) were shared to boost LLM reasoning, alongside Qwen2.5-Math-PRM models excelling in mathematical reasoning. LangChain released a beta for ChatGPT Tasks enabling scheduling of reminders and summaries, and introduced open-source ambient agents for email assistance. OpenAI rolled out Tasks for scheduling actions in ChatGPT for Plus, Pro, and Teams users. AI software engineering is rapidly advancing, predicted to match human capabilities within 18 months. Research on LLM scaling laws highlights power law relationships and plateauing improvements, while GANs are experiencing a revival.
not much happened today
prime gpt-4o qwen-32b olmo openai qwen cerebras-systems langchain vercel swaggo gin echo reasoning chain-of-thought math coding optimization performance image-processing software-development agent-frameworks version-control security robotics hardware-optimization medical-ai financial-ai architecture akhaliq jason-wei vikhyatk awnihannun arohan tom-doerr hendrikbgr jerryjliu0 adcock-brett shuchaobi stasbekman reach-vb virattt andrew-n-carr
Olmo 2 released a detailed tech report showcasing full pre, mid, and post-training details for a frontier fully open model. PRIME, an open-source reasoning solution, achieved 26.7% pass@1, surpassing GPT-4o in benchmarks. Performance improvements include Qwen 32B (4-bit) generating at >40 tokens/sec on an M4 Max and libvips being 25x faster than Pillow for image resizing. New tools like Swaggo/swag for Swagger 2.0 documentation, Jujutsu (jj) Git-compatible VCS, and Portspoof security tool were introduced. Robotics advances include a weapon detection system with a meters-wide field of view and faster frame rates. Hardware benchmarks compared H100 and MI300x accelerators. Applications span medical error detection using PRIME and a financial AI agent integrating LangChainAI and Vercel AI SDK. Architectural insights suggest the need for breakthroughs similar to SSMs or RNNs.
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deepseek-v3 chatgpt-4 openai deepseek google qwen overfitting reasoning misguided-attention model-evaluation model-architecture finetuning open-source sam-altman
Sam Altman publicly criticizes DeepSeek and Qwen models, sparking debate about OpenAI's innovation claims and reliance on foundational research like the Transformer architecture. Deepseek V3 shows significant overfitting issues in the Misguided Attention evaluation, solving only 22% of test prompts, raising concerns about its reasoning and finetuning. Despite skepticism about its open-source status, Deepseek V3 is claimed to surpass ChatGPT4 as an open-source model, marking a milestone 1.75 years after ChatGPT4's release on March 14, 2023. The discussions highlight competitive dynamics in AI model performance and innovation sustainability.
Not much happened today
grok-beta llama-3-1-70b claude-3-5-haiku claude-3-opus llama-3 chatgpt gemini meta-ai-fair scale-ai anthropic perplexity-ai langchainai weights-biases qwen pricing national-security defense open-source agentic-ai retrieval-augmented-generation election-predictions real-time-updates annotation ai-ecosystem memes humor alexandr_wang svpino aravsrinivas bindureddy teortaxestex jessechenglyu junyang-lin cte_junior jerryjliu0
Grok Beta surpasses Llama 3.1 70B in intelligence but is less competitive due to its pricing at $5/1M input tokens and $15/1M output tokens. Defense Llama, developed with Meta AI and Scale AI, targets American national security applications. SWE-Kit, an open-source framework, supports building customizable AI software engineers compatible with Llama 3, ChatGPT, and Claude. LangChainAI and Weights & Biases integrate to improve retrievers and reduce hallucinations in RAG applications using Gemini. Perplexity AI offers enhanced election tracking tools for the 2024 elections, including live state results and support for Claude 3.5 Haiku. AI Talk launched featuring discussions on Chinese AI labs with guests from Qwen. Memes highlight Elon Musk and humorous AI coding mishaps.
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o1-preview o1-mini qwen-2.5 gpt-4o deepseek-v2.5 gpt-4-turbo-2024-04-09 grin llama-3-1-405b veo kat openai qwen deepseek-ai microsoft kyutai-labs perplexity-ai together-ai meta-ai-fair google-deepmind hugging-face google anthropic benchmarking math coding instruction-following model-merging model-expressiveness moe voice voice-models generative-video competition open-source model-deployment ai-agents hyung-won-chung noam-brown bindureddy akhaliq karpathy aravsrinivas fchollet cwolferesearch philschmid labenz ylecun
OpenAI's o1-preview and o1-mini models lead benchmarks in Math, Hard Prompts, and Coding. Qwen 2.5 72B model shows strong performance close to GPT-4o. DeepSeek-V2.5 tops Chinese LLMs, rivaling GPT-4-Turbo-2024-04-09. Microsoft's GRIN MoE achieves good results with 6.6B active parameters. Moshi voice model from Kyutai Labs runs locally on Apple Silicon Macs. Perplexity app introduces voice mode with push-to-talk. LlamaCoder by Together.ai uses Llama 3.1 405B for app generation. Google DeepMind's Veo is a new generative video model for YouTube Shorts. The 2024 ARC-AGI competition increases prize money and plans a university tour. A survey on model merging covers 50+ papers for LLM alignment. The Kolmogorov–Arnold Transformer (KAT) paper proposes replacing MLP layers with KAN layers for better expressiveness. Hugging Face Hub integrates with Google Cloud Vertex AI Model Garden for easier open-source model deployment. Agent.ai is introduced as a professional network for AI agents. "Touching grass is all you need."
Gemma 2 tops /r/LocalLlama vibe check
gemma-2-9b gemma-2-27b llama-3 mistral-7b phi-3 qwen gemma llamaindex mistral-ai cohere deepseek-ai nous-research eureka-labs model-comparison local-llms multilinguality model-efficiency fine-tuning ai-education ai-teaching-assistants andrej-karpathy
Gemma 2 (9B, 27B) is highlighted as a top-performing local LLM, praised for its speed, multilingual capabilities, and efficiency on consumer GPUs like the 2080ti. It outperforms models like Llama 3 and Mistral 7B in various tasks, including non-English text processing and reasoning. The community discussion on /r/LocalLlama reflects strong preference for Gemma 2, with 18 mentions, compared to 10 mentions for Llama 3 and 9 mentions for Mistral. Other models like Phi 3 and Qwen also received mentions but are considered surpassed by Gemma 2. Additionally, Andrej Karpathy announced the launch of Eureka Labs, an AI+Education startup aiming to create an AI-native school with AI Teaching Assistants, starting with the LLM101n course to teach AI training fundamentals. This initiative is seen as a significant development in AI education.
Welcome Interconnects and OpenRouter
mistral-large miqu mixtral gpt-4 mistral-7b mistral-ai openai perplexity-ai llamaindex qwen langchain model-comparison model-optimization quantization role-playing story-writing code-clarity ai-assisted-decompilation asynchronous-processing quantum-computing encoder-based-diffusion open-source hardware-experimentation rag-systems nathan-lambert alex-atallah
Discord communities analyzed 22 guilds, 349 channels, and 12885 messages revealing active discussions on model comparisons and optimizations involving Mistral AI, Miqu, and GGUF quantized models. Highlights include comparing Mistral Large with GPT-4, focusing on cost-effectiveness and performance, and exploring quantization techniques like GPTQ and QLORA to reduce VRAM usage. Advanced applications such as role-playing, story-writing, code clarity, and AI-assisted decompilation were emphasized, alongside development of tools like an asynchronous summarization script for Mistral 7b. The intersection of quantum computing and AI was discussed, including DARPA-funded projects and encoder-based diffusion techniques for image processing. Community efforts featured new Spanish LLM announcements, hardware experimentation, and open-source initiatives, with platforms like Perplexity AI and LlamaIndex noted for innovation and integration. Speculation about Mistral AI's open-source commitment and tools like R2R for rapid RAG deployment highlighted collaborative spirit.
Qwen 1.5 Released
qwen-1.5 mistral-7b sparsetral-16x7b-v2 bagel-7b-v0.4 deepseek-math-7b-instruct deepseek qwen mistral-ai hugging-face meta-ai-fair quantization token-context multilinguality retrieval-augmented-generation agent-planning code-generation sparse-moe model-merging fine-tuning direct-preference-optimization character-generation ascii-art kanji-generation vr retinal-resolution light-field-passthrough frozen-networks normalization-layers
Chinese AI models Yi, Deepseek, and Qwen are gaining attention for strong performance, with Qwen 1.5 offering up to 32k token context and compatibility with Hugging Face transformers and quantized models. The TheBloke Discord discussed topics like quantization of a 70B LLM, the introduction of the Sparse MoE model Sparsetral based on Mistral, debates on merging vs fine-tuning, and Direct Preference Optimization (DPO) for character generation. The Nous Research AI Discord covered challenges in Japanese Kanji generation, AI scams on social media, and Meta's VR headset prototypes showcased at SIGGRAPH 2023. Discussions also included fine-tuning frozen networks and new models like bagel-7b-v0.4, DeepSeek-Math-7b-instruct, and Sparsetral-16x7B-v2.
12/25/2023: Nous Hermes 2 Yi 34B for Christmas
nous-hermes-2 yi-34b nucleusx yayi-2 ferret teknim nous-research apple mixtral deepseek qwen huggingface wenge-technology quantization model-optimization throughput-metrics batch-processing parallel-decoding tensor-parallelization multimodality language-model-pretraining model-benchmarking teknium carsonpoole casper_ai pradeep1148 osanseviero metaldragon01
Teknium released Nous Hermes 2 on Yi 34B, positioning it as a top open model compared to Mixtral, DeepSeek, and Qwen. Apple introduced Ferret, a new open-source multimodal LLM. Discussions in the Nous Research AI Discord focused on AI model optimization and quantization techniques like AWQ, GPTQ, and AutoAWQ, with insights on proprietary optimization and throughput metrics. Additional highlights include the addition of NucleusX Model to transformers, a 30B model with 80 MMLU, and the YAYI 2 language model by Wenge Technology trained on 2.65 trillion tokens. "AutoAWQ outperforms vLLM up to batch size 8" was noted, and proprietary parallel decoding and tensor parallelization across GPUs were discussed for speed improvements.