| { | |
| "Debug": { | |
| "Guaranteed-Working": { | |
| "TinyLlama-1.1B-Chat-v1.0": { | |
| "id": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", | |
| "description": "๐งช Reliable small chat model ideal for debugging, testing, and low-resource environments.", | |
| "link": "https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0", | |
| "emoji": "๐งช" | |
| }, | |
| "Phi-3-Mini-128k-Instruct": { | |
| "id": "microsoft/Phi-3-mini-128k-instruct", | |
| "description": "๐งช Reliable compact instruction model with broad availability and excellent stability for debugging.", | |
| "link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct", | |
| "emoji": "๐" | |
| } | |
| } | |
| }, | |
| "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": "๐ฆ" | |
| }, | |
| "Llama-3.1-70B-Instruct": { | |
| "id": "meta-llama/Llama-3.1-70B-Instruct", | |
| "description": "๐ Gated model โ 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": "๐ฆ" | |
| }, | |
| "Llama-3.1-405B-Instruct": { | |
| "id": "meta-llama/Llama-3.1-405B-Instruct", | |
| "description": "โ ๏ธ Extremely large model โ requires paid HF Inference API or strong hardware. ๐ Gated model โ 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": "๐ฆ" | |
| }, | |
| "Llama-3-8B-Instruct": { | |
| "id": "meta-llama/Llama-3-8B-Instruct", | |
| "description": "๐ Gated model โ 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": "๐ฆ" | |
| }, | |
| "Llama-3-70B-Instruct": { | |
| "id": "meta-llama/Llama-3-70B-Instruct", | |
| "description": "โ ๏ธ Large model โ may require paid HF Inference API. ๐ Gated model โ requires accepting the Meta license. High-quality Llama 3 instruction model.", | |
| "link": "https://huggingface.co/meta-llama/Llama-3-70B-Instruct", | |
| "emoji": "๐ฆ" | |
| }, | |
| "Llama-Guard-3-8B": { | |
| "id": "meta-llama/Llama-Guard-3-8B", | |
| "description": "๐งช Safety moderation model โ useful for filtering or classifying chat content.", | |
| "link": "https://huggingface.co/meta-llama/Llama-Guard-3-8B", | |
| "emoji": "๐ก๏ธ" | |
| } | |
| }, | |
| "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": "๐ฌ๏ธ" | |
| }, | |
| "Mistral-7B-Instruct-v0.2": { | |
| "id": "mistralai/Mistral-7B-Instruct-v0.2", | |
| "description": "๐งช Earlier version of the Mistral instruction model โ stable and widely supported.", | |
| "link": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2", | |
| "emoji": "๐ฌ๏ธ" | |
| } | |
| }, | |
| "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": "๐งฉ" | |
| }, | |
| "Mixtral-8x22B-Instruct": { | |
| "id": "mistralai/Mixtral-8x22B-Instruct", | |
| "description": "โ ๏ธ Extremely large model โ 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": "๐งฉ" | |
| } | |
| } | |
| }, | |
| "Coding": { | |
| "Qwen-Coder": { | |
| "Qwen2.5-Coder-0.5B-Instruct": { | |
| "id": "Qwen/Qwen2.5-Coder-0.5B-Instruct", | |
| "description": "Sehr leichtes CodingโModell fรผr schnelle Inferenz und einfache Aufgaben.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct", | |
| "emoji": "๐ป" | |
| }, | |
| "Qwen2.5-Coder-1.5B-Instruct": { | |
| "id": "Qwen/Qwen2.5-Coder-1.5B-Instruct", | |
| "description": "Kleines instructionโtuned CodingโModell mit besserer Logik als die 0.5BโVariante.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct", | |
| "emoji": "๐ป" | |
| }, | |
| "Qwen2.5-Coder-3B-Instruct": { | |
| "id": "Qwen/Qwen2.5-Coder-3B-Instruct", | |
| "description": "Mittelgroรes CodingโModell mit guter Performance bei Codegenerierung und Debugging.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct", | |
| "emoji": "๐ป" | |
| }, | |
| "Qwen2.5-Coder-7B-Instruct": { | |
| "id": "Qwen/Qwen2.5-Coder-7B-Instruct", | |
| "description": "Beliebter AllroundโCoder mit starker Fรคhigkeit fรผr Codegenerierung, -bearbeitung und -erklรคrung.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct", | |
| "emoji": "๐ป" | |
| }, | |
| "Qwen2.5-Coder-14B-Instruct": { | |
| "id": "Qwen/Qwen2.5-Coder-14B-Instruct", | |
| "description": "Groรes Modell mit verbesserter Logik und langen Kontexten โ geeignet fรผr umfangreiche Projekte.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct", | |
| "emoji": "๐ป" | |
| }, | |
| "Qwen2.5-Coder-32B-Instruct": { | |
| "id": "Qwen/Qwen2.5-Coder-32B-Instruct", | |
| "description": "Leistungsstarker CodingโAssistent mit sehr hoher Genauigkeit โ groรe Modelle benรถtigen viel VRAM.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct", | |
| "emoji": "๐ป" | |
| } | |
| }, | |
| "CodeLlama": { | |
| "CodeLlama-7B-Instruct": { | |
| "id": "codellama/CodeLlama-7b-Instruct-hf", | |
| "description": "Leichtes, instructionโtuned Modell โ beliebt fรผr CodingโChat und kleinere Projekte.", | |
| "link": "https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf", | |
| "emoji": "๐งโ๐ป" | |
| }, | |
| "CodeLlama-13B-Instruct": { | |
| "id": "codellama/CodeLlama-13b-Instruct-hf", | |
| "description": "Mittelklasse mit guter Codegenerierung und Reasoning โ vielseitig einsetzbar.", | |
| "link": "https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf", | |
| "emoji": "๐งโ๐ป" | |
| }, | |
| "CodeLlama-34B-Instruct": { | |
| "id": "codellama/CodeLlama-34b-Instruct-hf", | |
| "description": "Leistungsstarkes Modell fรผr grรถรere sowie komplexere Projekte und umfangreiche Codebasen.", | |
| "link": "https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf", | |
| "emoji": "๐งโ๐ป" | |
| }, | |
| "CodeLlama-70B-Instruct": { | |
| "id": "meta-llama/CodeLlama-70B-Instruct-hf", | |
| "description": "Sehr groรes Modell โ maximale Kapazitรคt fรผr komplexe Tasks, aber hoher Ressourcenbedarf.", | |
| "link": "https://huggingface.co/meta-llama/CodeLlama-70B-Instruct-hf", | |
| "emoji": "๐งโ๐ป" | |
| } | |
| }, | |
| "Llama3.1-Code": { | |
| "Llama-3.1-8B-Instruct-Code": { | |
| "id": "meta-llama/Llama-3.1-8B-Instruct", | |
| "description": "Kompaktes Modell fรผr vielseitige Aufgaben โ unterstรผtzt auch Code, gute Balance aus Grรถรe und Leistung.", | |
| "link": "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct", | |
| "emoji": "๐ฆ" | |
| }, | |
| "Llama-3.1-70B-Instruct-Code": { | |
| "id": "meta-llama/Llama-3.1-70B-Instruct", | |
| "description": "HighโEnd Modell fรผr professionelle und komplexe CodingโWorkflows, inklusive Multilanguage.", | |
| "link": "https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct", | |
| "emoji": "๐ฆ" | |
| } | |
| }, | |
| "DeepSeek-Coder": { | |
| "DeepSeek-Coder-1.3B": { | |
| "id": "deepseek-ai/DeepSeek-Coder-1.3B-instruct", | |
| "description": "Kleines, schnelles Modell โ geeignet fรผr einfache Aufgaben und schnelles Prototyping.", | |
| "link": "https://huggingface.co/deepseek-ai/DeepSeek-Coder-1.3B-instruct", | |
| "emoji": "๐" | |
| }, | |
| "DeepSeek-Coder-6.7B": { | |
| "id": "deepseek-ai/DeepSeek-Coder-6.7B-instruct", | |
| "description": "Mittelklasse mit guter Multisprachenโ und CodeโPerformance โ guter Kompromiss zwischen Ressourcen und Leistung.", | |
| "link": "https://huggingface.co/deepseek-ai/DeepSeek-Coder-6.7B-instruct", | |
| "emoji": "๐" | |
| }, | |
| "DeepSeek-Coder-33B": { | |
| "id": "deepseek-ai/DeepSeek-Coder-33B-instruct", | |
| "description": "Stark in groรen Projekten und komplexem Code โ beliebt fรผr umfangreiche Codebasen und generelle MultiโLanguageโProjekte.", | |
| "link": "https://huggingface.co/deepseek-ai/DeepSeek-Coder-33B-instruct", | |
| "emoji": "๐" | |
| } | |
| }, | |
| "StarCoder": { | |
| "StarCoder-1B": { | |
| "id": "bigcode/starcoder", | |
| "description": "Leichtes BasisโCodeโModell โ gut fรผr kleinere Skripte und simple Aufgaben.", | |
| "link": "https://huggingface.co/bigcode/starcoder", | |
| "emoji": "โญ" | |
| }, | |
| "StarCoder2-7B": { | |
| "id": "bigcode/starcoder2-7b", | |
| "description": "Aktuelle Generation mit guter Performance fรผr viele Sprachen und mittelgroรe Projekte.", | |
| "link": "https://huggingface.co/bigcode/starcoder2-7b", | |
| "emoji": "โญ" | |
| }, | |
| "StarCoder2-15B": { | |
| "id": "bigcode/starcoder2-15b", | |
| "description": "Leistungsfรคhiges Modell mit breiter Sprachabdeckung und guter Codegenerierung โ beliebt fรผr Open-SourceโProjekte.", | |
| "link": "https://huggingface.co/bigcode/starcoder2-15b", | |
| "emoji": "โญ" | |
| } | |
| }, | |
| "Phind-CodeLlama-v2": { | |
| "Phind-CodeLlama-34B-v2": { | |
| "id": "phind/Phind-CodeLlama-34B-v2", | |
| "description": "Sehr starkes CodeโLLM, oft an der Spitze der OpenโSourceโLeaderboards โ gute Leistung in vielen Sprachen inklusive C#, C++, Python.", | |
| "link": "https://huggingface.co/phind/Phind-CodeLlama-34B-v2", | |
| "emoji": "๐ฅ" | |
| } | |
| }, | |
| "WizardCoder": { | |
| "WizardCoder-15B": { | |
| "id": "WizardLM/WizardCoder-15B-V1.0", | |
| "description": "Beliebtes ChatโCodingโModell โ gut fรผr kreative Aufgaben, Erklรคrungen und CodeโGenerierung in vielen Sprachen.", | |
| "link": "https://huggingface.co/WizardLM/WizardCoder-15B-V1.0", | |
| "emoji": "๐งโโ๏ธ" | |
| } | |
| }, | |
| "CodeGemma": { | |
| "CodeGemma-2B": { | |
| "id": "google/codegemma-2b-code", | |
| "description": "Kompaktes Modell โ gut fรผr Mobile oder leichtes Coding, Java & Kotlin Fokus.", | |
| "link": "https://huggingface.co/google/codegemma-2b-code", | |
| "emoji": "๐" | |
| }, | |
| "CodeGemma-7B": { | |
| "id": "google/codegemma-7b-code", | |
| "description": "Stabil und solide โ gute Performance fรผr vielfรคltige Sprachen und Projekte.", | |
| "link": "https://huggingface.co/google/codegemma-7b-code", | |
| "emoji": "๐" | |
| } | |
| }, | |
| "CodeGen": { | |
| "CodeGen-2B": { | |
| "id": "salesforce/codegen-2B-multi", | |
| "description": "Multilingual CodeโGeneration โ solide Grundausstattung fรผr viele Sprachen.", | |
| "link": "https://huggingface.co/Salesforce/codegen-2B-multi", | |
| "emoji": "๐" | |
| }, | |
| "CodeGen-6B": { | |
| "id": "salesforce/codegen-6B-multi", | |
| "description": "Gute Balance zwischen Leistungsfรคhigkeit und Ressourcenbedarf.", | |
| "link": "https://huggingface.co/Salesforce/codegen-6B-multi", | |
| "emoji": "๐" | |
| }, | |
| "CodeGen-16B": { | |
| "id": "salesforce/codegen-16B-multi", | |
| "description": "Leistungsstark fรผr groรe und komplexe CodeโGenerierungsaufgaben.", | |
| "link": "https://huggingface.co/Salesforce/codegen-16B-multi", | |
| "emoji": "๐" | |
| } | |
| }, | |
| "InCoder": { | |
| "InCoder-1B": { | |
| "id": "facebook/incoder-1B", | |
| "description": "Gutes InfillโModell โ praktisch fรผr Code-Ergรคnzungen und CodeโRefactoring.", | |
| "link": "https://huggingface.co/facebook/incoder-1B", | |
| "emoji": "โจ" | |
| }, | |
| "InCoder-6B": { | |
| "id": "facebook/incoder-6B", | |
| "description": "Robustere Version mit besserer Codequalitรคt und Kontextverarbeitung.", | |
| "link": "https://huggingface.co/facebook/incoder-6B", | |
| "emoji": "โจ" | |
| } | |
| }, | |
| "PolyCoder": { | |
| "PolyCoder-2.7B": { | |
| "id": "NinedayWang/PolyCoder-2.7B", | |
| "description": "Besonders stark in C, C++, Systemโ und PerformanceโSprache โ nรผtzlich fรผr lowโlevel oder crossโplatform Code.", | |
| "link": "https://huggingface.co/NinedayWang/PolyCoder-2.7B", | |
| "emoji": "๐งฉ" | |
| } | |
| }, | |
| "Replit-Code-LLM": { | |
| "Replit-3B": { | |
| "id": "replit/Replit-code-v1-3B", | |
| "description": "Beliebt bei Webโ und APIโProjekten โ schneller Ladevorgang, gute Performance fรผr kleine & mittlere Projekte.", | |
| "link": "https://huggingface.co/replit/Replit-code-v1-3B", | |
| "emoji": "๐ง" | |
| } | |
| } | |
| }, | |
| "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": "๐ง " | |
| }, | |
| "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": "๐ง " | |
| }, | |
| "DeepSeek-R1-Distill-Llama-70B": { | |
| "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B", | |
| "description": "โ ๏ธ Large model โ 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": "๐ง " | |
| } | |
| }, | |
| "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": "๐งฎ" | |
| } | |
| } | |
| }, | |
| "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": "๐" | |
| }, | |
| "Qwen2.5-72B-Instruct": { | |
| "id": "Qwen/Qwen2.5-72B-Instruct", | |
| "description": "โ ๏ธ Extremely large model โ requires paid HF Inference API. Multilingual instruction model with advanced reasoning.", | |
| "link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct", | |
| "emoji": "๐" | |
| } | |
| }, | |
| "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": "๐ฃ๏ธ" | |
| }, | |
| "Aya-23-35B": { | |
| "id": "CohereForAI/aya-23-35b", | |
| "description": "โ ๏ธ Large multilingual model โ may require paid HF Inference API. High-quality multilingual chat and reasoning.", | |
| "link": "https://huggingface.co/CohereForAI/aya-23-35b", | |
| "emoji": "๐ฃ๏ธ" | |
| } | |
| } | |
| }, | |
| "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": "๐" | |
| }, | |
| "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": "๐" | |
| } | |
| }, | |
| "TinyLlama": { | |
| "TinyLlama-1.1B-Chat-v1.0": { | |
| "id": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", | |
| "description": "๐งช Reliable small chat model ideal for debugging, testing, and low-resource environments.", | |
| "link": "https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0", | |
| "emoji": "๐งช" | |
| } | |
| } | |
| }, | |
| "Exotic": { | |
| "Mamba": { | |
| "Mamba-130M-HF": { | |
| "id": "state-spaces/mamba-130m-hf", | |
| "description": "๐งช Experimental model โ HF-converted Mamba variant. Limited chat capabilities but usable for experimentation.", | |
| "link": "https://huggingface.co/state-spaces/mamba-130m-hf", | |
| "emoji": "๐" | |
| } | |
| } | |
| } | |
| } | |