Achei uma IA

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+Math.round(x)});anim(document.getElementById('cx-c2'),1800,function(x){return '~'+Math.round(x).toLocaleString('en-US')+'x'});anim(document.getElementById('cx-c3'),11.1,function(x){return '+'+x.toFixed(1)})} // limits R.querySelectorAll('.lim .box').forEach(function(b){b.onclick=function(){b.classList.toggle('open');setTimeout(post,380)}}); window.addEventListener('load',post);window.addEventListener('resize',post);setTimeout(post,300); })(); </script> </body></html> \" style=\"width:100%;height:600px;border:0;display:block;background:transparent;\" loading=\"lazy\"> (function(){var f=document.getElementById('mtp-cx-frame');window.addEventListener('message',function(e){if(e.data&&e.data.mtpcx&&e.source===f.contentWindow&&e.data.h>200){f.style.height=e.data.h+'px';}});})(); What does Carbon-X cost to run? Hugging Face prices Carbon-X at measured throughput on an H200 at $5 per hour. On that basis, it reports about 1/1,800 of GPT-6.1 Sol’s inference cost per problem. Scoring the 2.4 million ClinVar variants of uncertain significance would cost about $300. The same job costs $32,000 to $4 million on frontier models. Carbon-X also works as a sub-agent. Kimi K3’s DNA index rose from 49.4% to 60.5% when it consulted Carbon-X. How do you deploy Carbon-X? vLLM: vllm serve HuggingFaceBio/Carbon-X --trust-remote-code on 1 x 80 GB GPU. Transformers: v5 or later, with trust_remote_code=True for the DNA tokenizer. llama.cpp: the official Carbon-X-GGUF repo needs llama.cpp b11742 or newer. Older builds tokenize DNA wrongly. Agents: the repo ships an OpenAI-style tool, an Inspect agent and a carbon-dna skill for coding agents. Keep enable_thinking=False . The model was post-trained and evaluated that way. How does Carbon-X compare with other DNA and general models? Feature Carbon-X Qwen3-14B GPT-6.1 Sol Evo 2 40B Developer Hugging Face + partners Alibaba Qwen OpenAI Arc Institute Parameters 14.8B 14.8B Not disclosed 40B Context 40,960 tokens 32,768 native, 131,072 with YaRN Not disclosed Up to 1M sequence length Input DNA + English Text Text (general-purpose) DNA only Answers in English Yes Yes Yes No License Apache 2.0 Apache 2.0 Proprietary, API only Apache 2.0 DNA average (HF eval) 66.7% ~40.0% 67.5% (Max) Not evaluated BioReason Coding 74.9% Not disclosed 71.0% Not evaluated Price Open weights Open weights $2 / $10 per 1M input / output tokens Open weights Key Takeaways Carbon-X is a 14.8B open model that reads DNA and answers in English. It averages 66.7% on 5 DNA benchmarks, 0.8 points behind GPT-6.1 Sol. It leads every tested model on BioReason Coding (74.9%) and NextBase (39.4%). It runs on 1 x 80 GB GPU, or a 15.8 GB Q8_0 GGUF. Splice-site accuracy is 29.8%, and it is not clinically validated. Check out the model card , release blog , GGUF weights and GitHub repo . Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter . Wait! are you on telegram? now you can join us on telegram as well. Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us The post Hugging Face Releases Carbon-X, a 14B Open DNA Language Model that Brings DNA and Natural Language Together for the First Time appeared first on MarkTechPost .","datePublished":"2026-10-25T16:53:40+00:00","dateModified":"2026-10-26T08:01:09.23125+00:00","image":"https://s.w.org/images/core/emoji/17.0.2/72x72/25b6.png","publisher":{"@type":"Organization","name":"Achei uma IA","url":"https://acheiumaia.com.br"}}