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Download default_models.json from Rainbowdesign/CodeLlama-13b-Instruct-hf-Chatbot: direct link, hf CLI and curl.
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- Download file 17.5 kB
-
https://huggingface.co/spaces/Rainbowdesign/CodeLlama-13b-Instruct-hf-Chatbot/resolve/main/default_models.json
- Command line
-
hf download hf://spaces/Rainbowdesign/CodeLlama-13b-Instruct-hf-Chatbot/default_models.json
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curl -L -o default_models.json https://huggingface.co/spaces/Rainbowdesign/CodeLlama-13b-Instruct-hf-Chatbot/resolve/main/default_models.json
17.5 kB
| { | |
| "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": "🐍" | |
| } | |
| } | |
| } | |
| } | |