unsloth-training
Fine-tune LLMs with Unsloth using GRPO or SFT: rewards, datasets, FP8, vision, MLX, export, mobile.
Lot de plugins · par duyet
Aperçu
unsloth-training est un lot de plugins pour les outils de code IA publié par duyet. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Le dernier changement enregistré date du 2026-10-19. Selon notre passage sur les places de marché du 2026-10-20.
Ce qu'il demande
- S'installe comme lot de plugins
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add duyet/codex-claude-plugins
/plugin install unsloth-training@duyet-claude-pluginsOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire duyet/codex-claude-plugins (Ouvrir la source sur GitHub) | Référencé | 1.1.0 | Forks (GitHub): 1 Étoiles (GitHub): 15 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| duyet-claude-plugins | duyet/codex-claude-plugins | 15 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 1
unsloth-training
Ce qui a changé
- Community GitHub marketplaces: version 1.1.0 publiée (avant 1.0.2)
- Community GitHub marketplaces: catégorie modifiée
- Community GitHub marketplaces: description modifiée
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
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Complete workflow for fine-tuning LLMs with Unsloth: dataset validation, notebook generation, training management, and model deployment
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Ollama REST API skill - run and manage local LLMs with chat, generate, embeddings, and custom model creation
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Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
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Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
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Run and compare LLMs, generate images and video, with the real yen cost returned per call.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
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Build, train, evaluate, and use open source AI models, datasets, and spaces.
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Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
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Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
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Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
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Référencé sur Community GitHub marketplaces (5)
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Complete workflow for fine-tuning LLMs with Unsloth: dataset validation, notebook generation, training management, and model deployment
-
Plan small custom models and fine-tunes: check the Hub, research options, write the spec in a planning repo.
-
vLLM Python skill - high-throughput LLM inference with offline batch, OpenAI-compatible server, LoRA adapters, multimodal inputs, and structured outputs
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Ollama REST API skill - run and manage local LLMs with chat, generate, embeddings, and custom model creation
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LLM application development, prompt engineering, and AI assistant optimization
Référencé sur Copilot CLI: github/awesome-copilot (5)
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Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
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Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
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Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing…
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Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations…
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Référencé sur Copilot CLI: github/copilot-plugins (5)
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Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Référencé sur Cursor: cursor/plugins (5)
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Iterative self-referential AI loops using the Ralph Wiggum technique.
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Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
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Consult a stronger model before major decisions, when stuck, and before declaring done.
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Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
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Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
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Référencé sur Official MCP Registry (5)
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Connect to Hugging Face Hub and thousands of Gradio AI Applications
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Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
Run and compare LLMs, generate images and video, with the real yen cost returned per call.
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Let a planning agent hand bounded language work to a local Ollama model.
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Search curated open-weight AI model releases, licenses, architectures, and primary sources.
Référencé sur npm registry (MCP servers) (5)
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One workspace for every AI coding assistant. Shared tasks, memory, and governance.
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Browser-local and CLI static evidence for deployed AI model artifacts.
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Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
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Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
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easytable-mcp io.github.chrischall/easytable-mcp
easyTable restaurant reservations for Claude — availability, and create/modify/cancel bookings
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.