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{
"Debug": {
"Guaranteed-Working": {
"TinyLlama-1.1B-Chat-v1.0": {
"id": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"description": "🧪 Reliable small chat model ideal for debugging, testing, and low-resource environments.",
"link": "https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"emoji": "🧪"
},
"Phi-3-Mini-128k-Instruct": {
"id": "microsoft/Phi-3-mini-128k-instruct",
"description": "🧪 Reliable compact instruction model with broad availability and excellent stability for debugging.",
"link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct",
"emoji": "📎"
}
}
},
"Instruct": {
"Llama-Instruct": {
"Llama-3.1-8B-Instruct": {
"id": "meta-llama/Llama-3.1-8B-Instruct",
"description": "General-purpose instruction-tuned Llama 3.1 model for chat, reasoning, and everyday assistance.",
"link": "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct",
"emoji": "🦙"
},
"Llama-3.1-70B-Instruct": {
"id": "meta-llama/Llama-3.1-70B-Instruct",
"description": "🔒 Gated model — requires accepting the Meta license. High-quality instruction model with strong reasoning and chat performance.",
"link": "https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct",
"emoji": "🦙"
},
"Llama-3.1-405B-Instruct": {
"id": "meta-llama/Llama-3.1-405B-Instruct",
"description": "⚠️ Extremely large model — requires paid HF Inference API or strong hardware. 🔒 Gated model — requires accepting the Meta license. Ultra-high-performance instruction model with exceptional reasoning.",
"link": "https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct",
"emoji": "🦙"
},
"Llama-3-8B-Instruct": {
"id": "meta-llama/Llama-3-8B-Instruct",
"description": "🔒 Gated model — requires accepting the Meta license. Instruction-tuned Llama 3 model suitable for general chat and reasoning.",
"link": "https://huggingface.co/meta-llama/Llama-3-8B-Instruct",
"emoji": "🦙"
},
"Llama-3-70B-Instruct": {
"id": "meta-llama/Llama-3-70B-Instruct",
"description": "⚠️ Large model — may require paid HF Inference API. 🔒 Gated model — requires accepting the Meta license. High-quality Llama 3 instruction model.",
"link": "https://huggingface.co/meta-llama/Llama-3-70B-Instruct",
"emoji": "🦙"
},
"Llama-Guard-3-8B": {
"id": "meta-llama/Llama-Guard-3-8B",
"description": "🧪 Safety moderation model — useful for filtering or classifying chat content.",
"link": "https://huggingface.co/meta-llama/Llama-Guard-3-8B",
"emoji": "🛡️"
}
},
"Mistral-Instruct": {
"Mistral-7B-Instruct-v0.3": {
"id": "mistralai/Mistral-7B-Instruct-v0.3",
"description": "Compact instruction-tuned Mistral model suitable for general chat and reasoning.",
"link": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3",
"emoji": "🌬️"
},
"Mistral-7B-Instruct-v0.2": {
"id": "mistralai/Mistral-7B-Instruct-v0.2",
"description": "🧪 Earlier version of the Mistral instruction model — stable and widely supported.",
"link": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2",
"emoji": "🌬️"
}
},
"Mixtral-Instruct": {
"Mixtral-8x7B-Instruct-v0.1": {
"id": "mistralai/Mixtral-8x7B-Instruct-v0.1",
"description": "High-quality mixture-of-experts instruction model offering strong reasoning and chat performance.",
"link": "https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1",
"emoji": "🧩"
},
"Mixtral-8x22B-Instruct": {
"id": "mistralai/Mixtral-8x22B-Instruct",
"description": "⚠️ Extremely large model — requires paid HF Inference API or strong hardware. Advanced mixture-of-experts instruction model with exceptional performance.",
"link": "https://huggingface.co/mistralai/Mixtral-8x22B-Instruct",
"emoji": "🧩"
}
}
},
"Coding": {
"Qwen-Coder": {
"Qwen2.5-Coder-0.5B-Instruct": {
"id": "Qwen/Qwen2.5-Coder-0.5B-Instruct",
"description": "Sehr leichtes Coding‑Modell für schnelle Inferenz und einfache Aufgaben.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct",
"emoji": "💻"
},
"Qwen2.5-Coder-1.5B-Instruct": {
"id": "Qwen/Qwen2.5-Coder-1.5B-Instruct",
"description": "Kleines instruction‑tuned Coding‑Modell mit besserer Logik als die 0.5B‑Variante.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct",
"emoji": "💻"
},
"Qwen2.5-Coder-3B-Instruct": {
"id": "Qwen/Qwen2.5-Coder-3B-Instruct",
"description": "Mittelgroßes Coding‑Modell mit guter Performance bei Codegenerierung und Debugging.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct",
"emoji": "💻"
},
"Qwen2.5-Coder-7B-Instruct": {
"id": "Qwen/Qwen2.5-Coder-7B-Instruct",
"description": "Beliebter Allround‑Coder mit starker Fähigkeit für Codegenerierung, -bearbeitung und -erklärung.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct",
"emoji": "💻"
},
"Qwen2.5-Coder-14B-Instruct": {
"id": "Qwen/Qwen2.5-Coder-14B-Instruct",
"description": "Großes Modell mit verbesserter Logik und langen Kontexten — geeignet für umfangreiche Projekte.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct",
"emoji": "💻"
},
"Qwen2.5-Coder-32B-Instruct": {
"id": "Qwen/Qwen2.5-Coder-32B-Instruct",
"description": "Leistungsstarker Coding‑Assistent mit sehr hoher Genauigkeit — große Modelle benötigen viel VRAM.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct",
"emoji": "💻"
}
},
"CodeLlama": {
"CodeLlama-7B-Instruct": {
"id": "codellama/CodeLlama-7b-Instruct-hf",
"description": "Leichtes, instruction‑tuned Modell — beliebt für Coding‑Chat und kleinere Projekte.",
"link": "https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf",
"emoji": "🧑💻"
},
"CodeLlama-13B-Instruct": {
"id": "codellama/CodeLlama-13b-Instruct-hf",
"description": "Mittelklasse mit guter Codegenerierung und Reasoning — vielseitig einsetzbar.",
"link": "https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf",
"emoji": "🧑💻"
},
"CodeLlama-34B-Instruct": {
"id": "codellama/CodeLlama-34b-Instruct-hf",
"description": "Leistungsstarkes Modell für größere sowie komplexere Projekte und umfangreiche Codebasen.",
"link": "https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf",
"emoji": "🧑💻"
},
"CodeLlama-70B-Instruct": {
"id": "meta-llama/CodeLlama-70B-Instruct-hf",
"description": "Sehr großes Modell — maximale Kapazität für komplexe Tasks, aber hoher Ressourcenbedarf.",
"link": "https://huggingface.co/meta-llama/CodeLlama-70B-Instruct-hf",
"emoji": "🧑💻"
}
},
"Llama3.1-Code": {
"Llama-3.1-8B-Instruct-Code": {
"id": "meta-llama/Llama-3.1-8B-Instruct",
"description": "Kompaktes Modell für vielseitige Aufgaben — unterstützt auch Code, gute Balance aus Größe und Leistung.",
"link": "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct",
"emoji": "🦙"
},
"Llama-3.1-70B-Instruct-Code": {
"id": "meta-llama/Llama-3.1-70B-Instruct",
"description": "High‑End Modell für professionelle und komplexe Coding‑Workflows, inklusive Multilanguage.",
"link": "https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct",
"emoji": "🦙"
}
},
"DeepSeek-Coder": {
"DeepSeek-Coder-1.3B": {
"id": "deepseek-ai/DeepSeek-Coder-1.3B-instruct",
"description": "Kleines, schnelles Modell — geeignet für einfache Aufgaben und schnelles Prototyping.",
"link": "https://huggingface.co/deepseek-ai/DeepSeek-Coder-1.3B-instruct",
"emoji": "🚀"
},
"DeepSeek-Coder-6.7B": {
"id": "deepseek-ai/DeepSeek-Coder-6.7B-instruct",
"description": "Mittelklasse mit guter Multisprachen‑ und Code‑Performance — guter Kompromiss zwischen Ressourcen und Leistung.",
"link": "https://huggingface.co/deepseek-ai/DeepSeek-Coder-6.7B-instruct",
"emoji": "🚀"
},
"DeepSeek-Coder-33B": {
"id": "deepseek-ai/DeepSeek-Coder-33B-instruct",
"description": "Stark in großen Projekten und komplexem Code — beliebt für umfangreiche Codebasen und generelle Multi‑Language‑Projekte.",
"link": "https://huggingface.co/deepseek-ai/DeepSeek-Coder-33B-instruct",
"emoji": "🚀"
}
},
"StarCoder": {
"StarCoder-1B": {
"id": "bigcode/starcoder",
"description": "Leichtes Basis‑Code‑Modell — gut für kleinere Skripte und simple Aufgaben.",
"link": "https://huggingface.co/bigcode/starcoder",
"emoji": "⭐"
},
"StarCoder2-7B": {
"id": "bigcode/starcoder2-7b",
"description": "Aktuelle Generation mit guter Performance für viele Sprachen und mittelgroße Projekte.",
"link": "https://huggingface.co/bigcode/starcoder2-7b",
"emoji": "⭐"
},
"StarCoder2-15B": {
"id": "bigcode/starcoder2-15b",
"description": "Leistungsfähiges Modell mit breiter Sprachabdeckung und guter Codegenerierung — beliebt für Open-Source‑Projekte.",
"link": "https://huggingface.co/bigcode/starcoder2-15b",
"emoji": "⭐"
}
},
"Phind-CodeLlama-v2": {
"Phind-CodeLlama-34B-v2": {
"id": "phind/Phind-CodeLlama-34B-v2",
"description": "Sehr starkes Code‑LLM, oft an der Spitze der Open‑Source‑Leaderboards — gute Leistung in vielen Sprachen inklusive C#, C++, Python.",
"link": "https://huggingface.co/phind/Phind-CodeLlama-34B-v2",
"emoji": "🔥"
}
},
"WizardCoder": {
"WizardCoder-15B": {
"id": "WizardLM/WizardCoder-15B-V1.0",
"description": "Beliebtes Chat‑Coding‑Modell — gut für kreative Aufgaben, Erklärungen und Code‑Generierung in vielen Sprachen.",
"link": "https://huggingface.co/WizardLM/WizardCoder-15B-V1.0",
"emoji": "🧙♂️"
}
},
"CodeGemma": {
"CodeGemma-2B": {
"id": "google/codegemma-2b-code",
"description": "Kompaktes Modell — gut für Mobile oder leichtes Coding, Java & Kotlin Fokus.",
"link": "https://huggingface.co/google/codegemma-2b-code",
"emoji": "💎"
},
"CodeGemma-7B": {
"id": "google/codegemma-7b-code",
"description": "Stabil und solide — gute Performance für vielfältige Sprachen und Projekte.",
"link": "https://huggingface.co/google/codegemma-7b-code",
"emoji": "💎"
}
},
"CodeGen": {
"CodeGen-2B": {
"id": "salesforce/codegen-2B-multi",
"description": "Multilingual Code‑Generation — solide Grundausstattung für viele Sprachen.",
"link": "https://huggingface.co/Salesforce/codegen-2B-multi",
"emoji": "📘"
},
"CodeGen-6B": {
"id": "salesforce/codegen-6B-multi",
"description": "Gute Balance zwischen Leistungsfähigkeit und Ressourcenbedarf.",
"link": "https://huggingface.co/Salesforce/codegen-6B-multi",
"emoji": "📘"
},
"CodeGen-16B": {
"id": "salesforce/codegen-16B-multi",
"description": "Leistungsstark für große und komplexe Code‑Generierungsaufgaben.",
"link": "https://huggingface.co/Salesforce/codegen-16B-multi",
"emoji": "📘"
}
},
"InCoder": {
"InCoder-1B": {
"id": "facebook/incoder-1B",
"description": "Gutes Infill‑Modell — praktisch für Code-Ergänzungen und Code‑Refactoring.",
"link": "https://huggingface.co/facebook/incoder-1B",
"emoji": "✨"
},
"InCoder-6B": {
"id": "facebook/incoder-6B",
"description": "Robustere Version mit besserer Codequalität und Kontextverarbeitung.",
"link": "https://huggingface.co/facebook/incoder-6B",
"emoji": "✨"
}
},
"PolyCoder": {
"PolyCoder-2.7B": {
"id": "NinedayWang/PolyCoder-2.7B",
"description": "Besonders stark in C, C++, System‑ und Performance‑Sprache — nützlich für low‑level oder cross‑platform Code.",
"link": "https://huggingface.co/NinedayWang/PolyCoder-2.7B",
"emoji": "🧩"
}
},
"Replit-Code-LLM": {
"Replit-3B": {
"id": "replit/Replit-code-v1-3B",
"description": "Beliebt bei Web‑ und API‑Projekten — schneller Ladevorgang, gute Performance für kleine & mittlere Projekte.",
"link": "https://huggingface.co/replit/Replit-code-v1-3B",
"emoji": "🔧"
}
}
},
"Reasoning": {
"DeepSeek-R1": {
"DeepSeek-R1-Distill-Qwen-7B": {
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"description": "Reasoning-focused distilled model based on DeepSeek-R1, optimized for chain-of-thought tasks.",
"link": "https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"emoji": "🧠"
},
"DeepSeek-R1-Distill-Llama-8B": {
"id": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
"description": "Reasoning-focused distilled Llama model with strong performance on structured reasoning tasks.",
"link": "https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
"emoji": "🧠"
},
"DeepSeek-R1-Distill-Llama-70B": {
"id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"description": "⚠️ Large model — may require paid HF Inference API. High-performance reasoning model distilled from DeepSeek-R1.",
"link": "https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"emoji": "🧠"
}
},
"Qwen-Reasoning": {
"Qwen2.5-Math-7B-Instruct": {
"id": "Qwen/Qwen2.5-Math-7B-Instruct",
"description": "Math and logic-focused Qwen model optimized for structured reasoning and problem solving.",
"link": "https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct",
"emoji": "🧮"
}
}
},
"Multilingual": {
"Qwen-Multi": {
"Qwen2.5-7B-Instruct": {
"id": "Qwen/Qwen2.5-7B-Instruct",
"description": "Multilingual instruction model with strong performance across many languages.",
"link": "https://huggingface.co/Qwen/Qwen2.5-7B-Instruct",
"emoji": "🌍"
},
"Qwen2.5-72B-Instruct": {
"id": "Qwen/Qwen2.5-72B-Instruct",
"description": "⚠️ Extremely large model — requires paid HF Inference API. Multilingual instruction model with advanced reasoning.",
"link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct",
"emoji": "🌍"
}
},
"Aya-Multilingual": {
"Aya-23-8B": {
"id": "CohereForAI/aya-23-8b",
"description": "Multilingual chat model trained across many languages with strong general-purpose performance.",
"link": "https://huggingface.co/CohereForAI/aya-23-8b",
"emoji": "🗣️"
},
"Aya-23-35B": {
"id": "CohereForAI/aya-23-35b",
"description": "⚠️ Large multilingual model — may require paid HF Inference API. High-quality multilingual chat and reasoning.",
"link": "https://huggingface.co/CohereForAI/aya-23-35b",
"emoji": "🗣️"
}
}
},
"Lightweight": {
"Phi-Mini": {
"Phi-3-Small-Instruct": {
"id": "microsoft/Phi-3-small-8k-instruct",
"description": "Lightweight instruction model suitable for fast inference and general chat.",
"link": "https://huggingface.co/microsoft/Phi-3-small-8k-instruct",
"emoji": "📎"
},
"Phi-3-Medium-Instruct": {
"id": "microsoft/Phi-3-medium-128k-instruct",
"description": "Medium-sized Phi-3 instruction model with strong performance and broad availability.",
"link": "https://huggingface.co/microsoft/Phi-3-medium-128k-instruct",
"emoji": "📎"
}
},
"TinyLlama": {
"TinyLlama-1.1B-Chat-v1.0": {
"id": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"description": "🧪 Reliable small chat model ideal for debugging, testing, and low-resource environments.",
"link": "https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"emoji": "🧪"
}
}
},
"Exotic": {
"Mamba": {
"Mamba-130M-HF": {
"id": "state-spaces/mamba-130m-hf",
"description": "🧪 Experimental model — HF-converted Mamba variant. Limited chat capabilities but usable for experimentation.",
"link": "https://huggingface.co/state-spaces/mamba-130m-hf",
"emoji": "🐍"
}
}
}
}
|