We’re on a journey to advance and democratize artificial intelligence through open source and open science.

December 8, 2024 - This dataset is a combination of samples from Sao10k's original Claude 3 Opus dataset and a personally created Claude 3.5 Sonnet dataset.

Claude 3.5 Sonnet is our strongest vision model yet, surpassing Claude 3 Opus on standard vision benchmarks. These step-change improvements are most noticeable for tasks that require visual reasoning, like interpreting charts and graphs.

8B • Updated Nov 16 • 1.34k • 5 · Updated Oct 6 · Text Generation • 8B • Updated Oct 1 • 22 • 1 · Text Generation • Updated Sep 24 · 12B • Updated Sep 15 • 4 · 12B • Updated Sep 21 • 6 ·

static quants of https://huggingface.co/mlfoundations-dev/oh-dcft-v3.1-claude-3-5-sonnet-20241022 · weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them.

November 11, 2024 - It is quite good at coding related tasks. We tried it on the Static Analysis Eval benchmark ( patched-codes/static-analysis-eval) which measures the ability of a LLM to fix vulnerabilities.

November 11, 2024 - Generation speed will be much lower than sonnet/haiku. ... Minimum 24GB for running it well. But you could run it on less by partially loading it to RAM (lmstudio has a slider for this) - it will be very but 32B quantized is not that large, so it might be very usable on for example 16GB cards. It is also free on huggingface chat by the way.

Anthropic Claude 3.5 Sonnet: This advanced model in the Claude 3 family is designed for nuanced understanding and creative language generation. With enhanced prompt comprehension and contextual awareness, it excels in complex dialogue, creative writing, and sophisticated content creation.

July 1, 2024 - ✨🚀 Claude Sonnet 3.5 API. It's already weaving digital magic! 🧠💻 Try it at my space: 🔗 awacke1/AnthropicClaude3.5Sonnet-ACW Kudos to @AnthropicAI for this elegant API! 👏 #AI #CodeMagic #AnthropicAI Thanks Huggingface for hosting the best hub in the world for AI development!

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

August 19, 2024 - We fine-tuned Phi-3-mini-4k to exceed Claude Sonnet 3.5 for graph extraction quality by up to 20% and to reduce cost by orders of magnitude. Further, we improve upon the already impressive JSON output structure of Phi-3-mini-4k, reducing parsing error rate from 2.5% to 0. We also release two additional versions, Phi-3-medium-4k-instruct-graph and Phi-3-medium-128k-instruct-graph, aimed at high reasoning and longer contexts. We also setup a HuggingFace space hosting our fine-tuned model, which is designed to ingest any text and visualize the output as a graph:

June 24, 2024 - Claude3.5-Sonnet is the latest large multi-modal model released by Anthropic, and it is the first version of the Claude 3.5 series. According to official blog, this model surpasses its predecessor such as Claude3-Opus and Gemini-1.5-Pro in terms of multi-modal understanding.

November 21, 2023 - Subreddit to discuss about Llama, the large language model created by Meta AI · Create your account and connect with a world of communities

October 3, 2024 - However, there is currently no direct way to download Claude 3.5 Sonnet for personal use on a computer. Fortunately, alternatives like Fello AI support Claude

October 23, 2024 - Claude 3 Haiku is the fastest model for daily tasks. The version of Claude in this chat is Claude 3.5 Sonnet.

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July 29, 2024 - hmm.. imo all AI including this new claude 3.5 sonnet can't create or fix my tools https://huggingface.co/spaces/llamameta/llama3.1-405B still need manual intervention from human that know coding

Try it now: from adaptive_classifier import AdaptiveClassifier # Load with ONNX automatically enabled (quantized for best performance) classifier = AdaptiveClassifier.load("adaptive-classifier/llm-router") # Add examples dynamically classifier.add_examples( ["Route this to GPT-4", "Simple task for GPT-3.5"], ["strong", "weak"] ) # Predict with optimized inference predictions = classifier.predict("Complex reasoning task") Check out our LLM Router model to see it in action: https://huggingface.co/adaptive-classifier/llm-router GitHub Repository: https://github.com/codelion/adaptive-classifier Install now: pip install adaptive-classifier We'd love to hear your feedback and see what you build with it!