Search: “model-releases”

About a year ago, before it was on anyone's radar, we began exploring the idea of a benchmark for open-ended invention. Since then, we've developed several promising directions that will serve as the

I find this new model at HF: 'Built for demanding work. A 262 144-token context window, adjustable reasoning effort, tool calling, and text, image and video understanding. Architecture Agnes-3.0-Flash

arXiv:2603.15976v2 Announce Type: replace Abstract: While LLMs have accelerated scientific code generation, comprehensively evaluating generated code remains challenging. Many benchmarks emphasize fun

arXiv:2609.10712v1 Announce Type: new Abstract: We study how model post-training and test-time inference design affect natural-language proof generation for hard olympiad mathematics. Starting from Ne

In September 2026, Simon Willison noted that while Anthropic had previously taken down PyPI packages, OpenAI's recent operation against RubyGems was notably more forceful. The tweet referenced an inve

'anthropic is using the same playbook religious institutions have been using for centuries' 'you will all die. and because i can protect you, you must follow me, you must do what i say' 'this is the s

Q2 is there and Q4 is uploading as I type. Has his github been updated yet? How do you run this? https://huggingface.co/antirez/deepseek-v4.1-flash-gguf/tree/main submitted by /u/Queasy_Asparagus69 [l

Hey everyone! I'm curious to hear from people that use a combination of cloud-based frontier models and local ones for development. I'm planning to set something similar up and wanted to hear about ac

Anyone can get my friend’s real SSN from Claude I'm Terrified of my data in training sets. Emails in databases. iMessages harvested. Cant trust the cloud as AI is crazy good at hacking So I built Unde

arXiv:2609.10629v1 Announce Type: new Abstract: Quadratic Unconstrained Binary Optimization (QUBO) is a central formulation for combinatorial optimization and has gained increasing attention due to it

ggml-webgpu: Update to a recent version of Dawn (#28683) ggml-webgpu: Update to a recent version of Dawn No module scanning Accept review suggestion to update comment Co-authored-by: Masashi Yoshimura

hexagon: support for multi-device model split (aka row-split) (#28589) hex-row-split: add support for multi-device row spliting Co-authored-by: Max Krasnyansky maxk@qti.qualcomm.com hex-mdev: add work

webgpu: align tensor bindings to the type block size (#28382) Walk the binding offset back until the distance to the tensor is a whole number of blocks, so block quantized views get a valid element of

opencl: add bin kernel kernel_gemm_noshuffle_q4_k_f32_32b_trans_ila_a8_bin (#28677) opencl: add A8 Q4_K non-MoE binary kernel opencl: fix layout compatibility opencl: rename binary kernel selection he

opencl: fix several bugs where the backend aborts (#27630) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47037447 macOS/iOS: macOS Apple Silicon (arm64) m

server: frame the router child state command as a whole line (#28747) The child writes its state commands on stdout while the logger writes on stderr, and both share a single pipe. The logger emits th

syscl : Handle (fail gracefully) unsupported tq1_0 quants (#28681) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47043623 macOS/iOS: macOS Apple Silicon (

vendor : update cpp-httplib to 0.56.0 (#28787) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47045738 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple S

ggml-cuda: hip add specific config table for AMD GCN (#27841) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47052867 macOS/iOS: macOS Apple Silicon (arm64

server : allow model downloads at model limit fix issue #26809 (#28530) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47055500 macOS/iOS: macOS Apple Sili

ui : add cache (#28802) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47065031 macOS/iOS: macOS Apple S

cmake: leave the timestamp out of precompiled headers on clang (#28816) Clang stores the modification time of the precompiled header sources inside the header and refuses the header when they differ.

jinja : support dot property integer literals (#28817) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/47107718 macOS/iOS: macOS Apple Silicon (arm64) macOS

arXiv:2609.11115v1 Announce Type: new Abstract: Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark data

arXiv:2609.11028v1 Announce Type: cross Abstract: LM-agent benchmarks increasingly function as interactive evaluation infrastructure. Agents observe state, call tools, modify workspaces, submit artifa

I’ve been researching which models to sub to and I’m currently not subbed to anything. I’ve definitely searched here and other places for opinions but a lot of what I was reading wasn’t current or 6mo

January 2025 I made the switch from OpenAI to Claude. It was awesome. No more annoying GPT Chats, I dove into the wonderful world of Claude Code, learned vibe coding with Github, Vercel on Next.js. Wa

arXiv:2609.11185v1 Announce Type: new Abstract: Evidence-based medicine demands strict logical consistency, yet current evaluations of large language models (LLMs) prioritize superficial label matchin

arXiv:2609.11682v1 Announce Type: new Abstract: Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience, yet existing skill optimization methods often r

I tried using deepseek v4.1 flash max subagents with astra extra high as an orchestrator. It was working perfectly with 1 until it suddenly stopped responding or doing work after 3 hours. Then trying

So, uh... the popularity of so-called humanlike Qwen (currently on top in this sub) made me realize just how clueless the general public is about the models they have. You'd be shocked but you don't n

Kimi routed some PLA requests to Claude for distillation purposes without warning the PLA users. There is rumor that 16 Moonshot employees were arrested for this leak. submitted by /u/Ok_Warning2146 [

arXiv:2609.11176v1 Announce Type: new Abstract: Industrial query-to-agent matching fails when topical relevance is mistaken for executable capability, especially on long-tail and boundary-sensitive re

arXiv:2609.10964v1 Announce Type: new Abstract: Agentic LLM workflows consist of sequences of model turns interleaved with tool interactions, so their end-to-end completion time depends not only on in

Hey everyone — I’m building TensorSharp, an open-source LLM inference engine. Here are the latest DeepSeek V4.1 Flash GGUF results using its native ggml_cuda backend. Setup: 8× NVIDIA A40, layer split

Can someone explain to me why Ollama Cloud are billing with same peak/off peak windows as Deepseek since they are hosting the model across US/EU infrastructure? submitted by /u/veganmaister [link] [co

Fast meets open. 🚀 Qwen3.8-27B is now running on @cerebras with rapid inference. Try it now! Qwen3.8-27B is now live at Cerebras speed. The dense, open-weight model from @Alibaba_Qwen scores 34 on the

First off, I know that GLM, Qwen, and DeepSeek absolutely dominate in terms of SOTA Open Source models, and that’s what I use in my personal projects and for school, however, I’m also responsible for

arXiv:2609.11061v1 Announce Type: new Abstract: Tree-structured rollouts give critic-free reinforcement learning with verifiable rewards (RLVR) step-level credit: fork a chain at an intermediate point

arXiv:2609.11859v1 Announce Type: new Abstract: How does a language model's dependence on query-routing information and target knowledge change as it answers a question? We study this question through

For many, Vram is precious, I see many people recommend using --no-mmproj-offload to save gpu vram but it is painfully slow. Especially if you are using it with agentic coding. If possible, add that s

arXiv:2609.11923v1 Announce Type: cross Abstract: Counterfactual regret minimization (CFR) is one of the few large numerical workloads that still runs faster on CPUs than on GPUs. Each iteration sweep

I have enabled the vision for the CIRU Strix UL4 quant of Qwen 3.8 flash next (others quants likely perform very similar) and tried it on a few things, then wanted to show my partner how great it work

https://github.com/Sayitobar/chat_llm_cookbook This is my personal project that took several months. I wanted to see whether a 2B small local model could simulate a six-person group chat trained & ran

If you showed me Claude Code today in 2018, I would have thought it was AGI. We have already absorbed a dramatic amount of change in the profession of software engineering and society as a whole. But

In his Pacing AI letter, Dario claims that RSI is starting to happen. The problem with this statement is that both the blog posts he links to *and* the system cards for the latest Claude and ChatGPT m