nanochat LLM Training Guidance

@Herculesz

Hi tinychat — I can walk you through Karpathy’s nanochat codebase and help you map out the full training workflow for adapting the model to domains like law or healthcare. I’ve cloned and modified nanochat before, focusing on dataset preparation, tokenizer alignment, and efficient fine-tuning. A key technical hurdle is maintaining stability and domain relevance during small-model fine-tuning, and I address this using LoRA/PEFT strategies, careful curriculum setup, and validation checkpoints. I’ve fine-tuned LLMs for compliance, medical summarization, and legal Q&A using Hugging Face Transformers, custom RAG layers, and lightweight adapters. In our session, I’ll screen-share, explain the training scripts, data loaders, config structure, and discuss how to structure your domain datasets. We can also outline scaling options, evaluation methods, and next steps after the first call. I’ll ensure you leave with a clear roadmap and practical guidance. Thanks, Hercules

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@LiveExperts

Hello, tinychat Passionate about machine learning, my name is Mirza Muhammad and I lead a team of professionals at Live Experts LLC who specialize in the precise field you seek. Having delved into sophisticated models like nanochat, we have both the ability to comprehend its intricate codebase and know how to adapt it for domains such as law or healthcare. I can assure you that our previous work with nanochat, specifically in areas like fine-tuning Law and Healthcare Language Models (LLM), have been highly successful producing exceptional results. Beyond the requisite expertise with nanochat, our varied skill set including data science, artificial intelligence, Linux, and Bash can add significant value to your project. Moreover, our proficiency in Vulcan mind-melding; just kidding! Our proficiency in communication helps us effectively share knowledge and ensure your complete understanding of the training methodologies we'll be employing. In addition to a live one-hour discussion session on nanochat and its mid-training specifics as per your requirement, we at Live Experts believe that delivering more than promised is the key. Thus in our case 'Deliverables' also mean providing an after-session assistance. Rest assured when choosing us you not only get experienced professionals but a reliable partner going forward. Let's get started! Thanks!

@AwaisChaudhry

As a seasoned AI developer with proficiency in AI Chatbot Development, AI Consulting, and AI Model Development among others, my extensive experience is a perfect match for your project. Delving into Andrej Karpathy's nanochat repository, understanding its codebase, and designing relevant training methodologies to adapt it in different domains are areas where I excel. At ZAWN Tech, we're no stranger to the power of LLMs and have successfully fine-tuned various models in diverse verticals like law and healthcare by leveraging tools such as LoRA, PEFT, Hugging Face Transformers, RAG pipelines, etc. In addition to applying our skills with nanochat extensively, we have deep knowledge and experience working with GPT models such as OpenAI's GPT-3. Our solutions always prioritise meeting unique client needs. This isn't merely about technical know-how; it's about delivering a solution that aligns seamlessly with your business objectives. The live, screen-shared session will not only bridge any gaps you may have with the nanochat system but also lay a foundation for us to collaborate on next steps in the most efficient way possible. Choose ZAWN Tech - let's build something truly transformative together!

@Julian29

tinychat I can help you get up to speed with Andrej Karpathy’s nanochat repo and map out a solid training plan for your domain (law, healthcare, etc.). I’ve worked hands-on with nanochat before—cloning, modifying, and running training experiments—and I’ve also fine-tuned other LLMs using LoRA/PEFT, Hugging Face Transformers, and RAG pipelines. What you’ll get in the 60-minute session: • A guided walkthrough of the nanochat codebase (architecture, data flow, training loop, evaluation) • Clarification of key components (tokenizers, datasets, checkpoints, optimizer setup) • A domain adaptation plan (law/healthcare): dataset strategy, instruction tuning, evaluation metrics • Guidance on fine-tuning approach: LoRA vs full fine-tuning, mixed precision, gradient accumulation, and cost optimization • RAG integration recommendations for secure and compliant retrieval-based systems • Next steps for your project, including training roadmap and deployment options If you want, I can also share a short checklist after the call: data requirements, training configuration, and a minimal reproducible setup. Let me know your preferred time slot and timezone, and I’ll confirm availability.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Machine Learning (ML), AI Consulting, AI Text-to-text, AI Chatbot Development, AI Model Development, Large Language Models (LLMs), AI Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@xuezhe315

Hello, With me, Yu, on board as your expert, we won't only just "do the job" but "do the job excellently." I've attained extensive experience where I've not only cloned, modified and trained LLMs, such as those you mentioned (LoRA, PEFT, Hugging Face Transformers, RAG pipelines), but successfully deployed them and seen measurable results. For instance, my NLP knowledge stretches well into GPT and Vertex AI; these skills can be employed precisely for adapting a model like nanochat to legal or healthcare domains to satisfy your project objectives. My apposite AI skills are backed by my web and mobile development prowess. I am the prodigious mind behind a number of applications utilizing AI-driven automations and data pipelines that have brought about intelligent decision-making processes. All this underlines my undying dedication which means you'll be receptive to top-notch guidance during our face-to-face nanochat session. I can guarantee you an end-product that isn't just functional but one that is impactful to your specific field. I’m excited at the opportunity to add value to your technology initiative by honing nanochat model specifically for law or healthcare sector. Best Wishes,

@corpmember29

tinychat I have hands-on experience reading, modifying, and training minimal GPT-style codebases (including Karpathy-style nano repos) and guiding teams through adapting them to real domains. I can walk you through the nanochat architecture line by line—data flow, model definition, training loop, checkpoints, and inference—then map this to domain adaptation strategies for law or healthcare. On the call, we’ll cover: How nanochat handles tokenization, batching, and training dynamics What to change for domain-specific corpora (data prep, curriculum, eval) When to use full fine-tuning vs LoRA/PEFT, and how to layer RAG on top Practical pitfalls (overfitting, context limits, hallucinations, eval) A concrete mid-training plan and next steps Background highlights: Fine-tuned LLMs using LoRA/PEFT with Hugging Face Transformers Built RAG pipelines for regulated domains (legal/health-style data) Production experience balancing quality, cost, and iteration speed Deliverable: one 60-min live, screen-shared session focused on nanochat internals and a clear training roadmap. Timing is flexible.

@ZohaibRoy

⭐⭐⭐⭐⭐ Get Expert Guidance on Andrej Karpathy’s Nanochat Codebase ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for an expert to help you understand the nanochat codebase. You don't need to look any further; Zohaib is here to assist you! My team has completed 50+ similar projects, focusing on LLMs and training methodologies. I will guide you through the codebase and help map out training methods for domains like law or healthcare. ➡️ Why Me? I can easily assist you with your nanochat project as I have 5 years of experience in machine learning and natural language processing. My expertise includes fine-tuning models, working with Hugging Face Transformers, and implementing training methodologies. I also have a strong grip on other relevant technologies, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Machine Learning ✅ Natural Language Processing ✅ Model Fine-Tuning ✅ Hugging Face Transformers ✅ RAG Pipelines ✅ LoRA Techniques ✅ PEFT Implementation ✅ Codebase Understanding ✅ Screen Sharing Sessions ✅ Training Methodologies ✅ Data Analysis ✅ Domain Adaptation Waiting for your response! Best Regards, Zohaib Waiting for your Response!

@strdmgrblr

tinychat I’ve worked on projects helping clients grasp complex AI models, improving their ability to customize and deploy LLMs effectively. For example, I've guided teams adapting models for industry-specific applications, resulting in streamlined workflows and better domain relevance. I’ll help you navigate Andrej Karpathy’s nanochat repo, clarify its codebase, and outline adaptable training strategies for domains such as law and healthcare, ensuring the process feels seamless and targeted to your needs. While new to Freelancer, my hands-on experience includes fine-tuning LLMs with techniques like LoRA and PEFT, and deploying RAG pipelines to enhance knowledge integration. This aligns well with your goal to map training methodologies efficiently. Key skills include Python, Hugging Face Transformers, model fine-tuning, and live collaboration sessions. We can chat more about your specific challenges, and hopefully make this deep dive as painless as possible. Let's have a chat, Alicia

@rbtech1984

tinychat Hello There!!! ⚜⭐⭐⭐⭐⚜(( Guidance on understanding and training nanochat for domain-specific LLMs ))⚜⭐⭐⭐⭐⚜ I see you want a focused one-hour session to dissect Andrej Karpathy’s nanochat repo, understand its architecture, and plan training for specialized domains like law or healthcare. My approach will clarify the codebase, cover fine-tuning strategies using LoRA, PEFT, and Hugging Face Transformers, and outline domain adaptation techniques. I have hands-on experience cloning and modifying nanochat, as well as fine-tuning LLMs for verticals including legal and medical data, leveraging RAG pipelines for contextual retrieval. Three core features of our session: 1. Step-by-step walkthrough of nanochat code and training loop 2. Best practices for domain-specific fine-tuning 3. Strategy for integrating RAG pipelines or memory-augmented training I can schedule a live screen-shared session at your convenience to ensure you leave confident in navigating nanochat and planning your training roadmap. Warm Regards, Farhin B.

@hayteekeys

I'm confident in my ability to assist you with Andrej Karpathy’s nanochat repo. My experience includes not only clonig, modifying and training nanochat, but also a wide variety of other LLMs with a particularly focus on verticals such as LoRA, PEFT, Hugging Face Transformers, and RAG pipelines. I believe that this practical experience, coupled with my ability to simplify complex concepts, will help you navigate and understand the codebase of the nanochat repo more effectively. I am familiar with the intricacies of adapting LLM models into different domains such as law and healthcare - this aligns perfectly with your project objectives. Furthermore, my eclectic expertise has led me to successfully integrate software, hardware and automation for numerous clients. Our session together can delve into strategies of implementing your modified model into practice. The foundation of any fruitful collaboration is transparent and clear communication. As your dedicated partner in this project, I offer that to you. I'll ensure our scheduled one-hour call is focused, productive and results-driven so that we can seamlessly discuss nanochat's codebase while concurrently plotting successful training approaches fit for your inteneded domain adaptation. Choose me because I have the knowledge you need to set you up for success! I anticipate discussing next steps after our initial session together which will be both exciting and impactful for the project's progression!

@ssquare489

tinychat I am Sumit Joshi from Sacesta Technologies. I can join you for a focused 60-minute working session to break down nanochat’s architecture, training loop, data pipeline, and outline how to adapt it to a regulated domain like law or healthcare. What we can cover in the session • Walkthrough of nanochat repo structure, model config, tokenizer, dataset handling • Understanding the training script, loss flow, batching, checkpoints • Differences between full fine-tuning vs LoRA or PEFT on smaller GPUs • Strategy for domain adaptation: curated corpus, instruction tuning, evaluation sets • When to use fine-tuning vs RAG for legal or medical use cases • Risk mitigation for hallucination and sensitive content Relevant experience • Fine-tuned LLMs using LoRA and PEFT with Hugging Face Transformers • Built RAG pipelines with vector databases for domain-specific QA systems • Implemented mid-training checkpoints and evaluation loops for performance tracking • Worked on structured output models for compliance-heavy use cases Questions • Tech: are you planning to train locally, on a single GPU, or via cloud GPUs? • Workflow: do you intend to adapt the base model directly, or layer RAG first before deeper fine-tuning? Deliverable • One live screen-shared session with actionable next steps and a training roadmap Regards, Sumit Joshi

@panroman50

Hi Mark, ⭐️⭐️⭐️I'll do my best.⭐️⭐️⭐️ I've carefully reviewed your project description and believe my skills and experience perfectly fit your needs. I have 10+ years of experience on Machine Learning (ML), AI Consulting, AI Text-to-text, AI Chatbot Development, AI Model Development, Large Language Models (LLMs), AI Development and am highly skilled in delivering high-quality results. I am committed to working diligently and exclusively on your project to ensure its success. Please contact us via chat for a more detailed consultation. Best Regards Roman

@reactnodepython

tinychat Hello, I am a senior full-stack engineer with strong experience in AI and LLM systems, as well as SaaS product development. I have cloned, read, and modified Andrej Karpathy-style minimal GPT projects similar to nanochat. I am comfortable walking through the codebase line by line, explaining the training loop, tokenization, data pipelines, loss functions, and how to adapt them for domain-specific training. I have fine-tuned multiple LLMs using Hugging Face Transformers, LoRA, and PEFT. I worked on legal document analysis, healthcare text classification, and internal knowledge assistants. Results included lower training cost with LoRA, better domain accuracy, and faster iteration cycles. I also designed RAG pipelines using vector databases to safely combine private data with base models. For your one-hour call, I can: Explain nanochat architecture and training flow Discuss dataset preparation for law or healthcare Map mid-training strategies and fine-tuning options Share practical pitfalls and optimization tips My approach is clear and practical, with simple explanations. English level is B1, I speak clearly and slowly. Looking forward to our session and next steps. Best, Yurii

@matin1106

Dear Mark S., I saw your project titled "nanochat LLM Training Guidance" and I'm interested in submitting a proposal. With over 10 years of experience in software development, I have a proven track record and strong expertise in the required skillset, including Large Language Models (LLMs). Here's a bit more about my skillset: Skills: Machine Learning (ML), AI Consulting, AI Text-to-text, AI Chatbot Development, AI Model Development, Large Language Models (LLMs), AI Development I'm confident I can deliver exceptional results for your project. Would you be open to discussing this further? Thank you for your time. Sincerely, A Mateen

@mobiwebsolutions

tinychat Hi There!!! The Goal of the project:- PROVIDE GUIDANCE ON NANOCHAT CODEBASE AND TRAINING METHODOLOGIES FOR DOMAIN-SPECIFIC LLM ADAPTATION. I have carefully reviewed your project description and understand that you need a focused one-hour session to explore nanochat, map out training strategies, and discuss domain adaptation for law or healthcare. I am the best fit because I have hands-on experience fine-tuning LLMs, working with nanochat, and implementing LoRA, PEFT, and RAG pipelines. 1. Walkthrough of nanochat codebase and its structure. 2. Discuss training methods and domain adaptation approaches. 3. Share insights from fine-tuning other LLMs and practical implementation tips. I will provide live screen-sharing guidance, notes for mid-training steps, and follow-up support. I have 9+ years experience as a full stack developer and have trained LLMs in legal, medical, and customer service verticals. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@Georgeoustar

Hello Mark, tinychat I'm excited about the opportunity to assist you with your exploration of Andrej Karpathy’s nanochat repo. Your project of adapting the model to domains like law or healthcare is intriguing, and I believe my background in Machine Learning and AI Consulting will be beneficial. I have hands-on experience with nanochat, having previously cloned, modified, and trained the model. My work includes fine-tuning LLMs across various verticals using advanced techniques like LoRA, PEFT, and leveraging Hugging Face Transformers. This experience has equipped me with the skills to offer insightful guidance on training methodologies tailored to your specific needs. During our one-hour session, I propose we dive deep into understanding the nanochat codebase. I will guide you through mapping out training strategies that align with your goals. We'll ensure you gain clarity on how to adapt the model efficiently to the law or healthcare sectors. I'm flexible with scheduling and can coordinate a time that suits us both. After our initial session, we can discuss further steps to continue your progress. I’m ready to start immediately and look forward to collaborating with you on this exciting project. Best Regards, George M.

@Maxxionn

Hi , I’ve carefully reviewed your job post and it’s clear you’re looking for someone with solid experience in AI Chatbot Development, AI Consulting, AI Development, AI Text-to-text, Large Language Models (LLMs), Machine Learning (ML) and AI Model Development. This is exactly within my core expertise, and I’m confident I can deliver reliable, high-quality results. Rather than rushing into assumptions, I prefer to understand the project properly. I’d appreciate your clarification on a few points: Is the job description complete, or are there additional requirements or expectations? Do you already have any work completed, or will this be built entirely from scratch? Do you have a preferred timeline or deadline in mind? Why you can confidently work with me: Successfully completed 250+ major projects across different industries Maintained 100% positive feedback over the last 5–6 years Earned 100+ recent 5-star reviews, showing long-term client satisfaction I focus on clear communication, clean execution, and on-time delivery I work as a full-time freelancer and am available 9 AM – 9 PM (Eastern Time), ensuring fast responses and consistent progress. Due to client confidentiality, I share relevant work samples only in private chat. Let’s start a conversation so I can show you similar work and suggest the best approach for your project. Looking forward to working with you. Best regards, Arsalan Khan