WiNGPT Babel by winninghealth

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WiNGPT Babel is an open-source language model by winninghealth. Features: 1.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen2.5-1.5b   Conversational   Deploy:azure   En   Endpoints compatible   Gguf   Multilingual   Q4   Quantized   Qwen2   Region:us   Safetensors   Translation   Zh

WiNGPT Babel Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WiNGPT Babel Parameters and Internals

LLM NameWiNGPT Babel
Repository 🤗https://huggingface.co/winninghealth/WiNGPT-Babel 
Base Model(s)  Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B
Model Size1.5b
Required VRAM1 GB
Updated2026-04-21
Maintainerwinninghealth
Model Typeqwen2
Model Files  1.0 GB   1.1 GB   1.6 GB   3.1 GB
Supported Languagesen zh
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k|q5_k
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to WiNGPT Babel

Best Alternatives
Context / RAM
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Likes
...Seek R1 Distill Qwen 1.5B GGUF128K / 0.7 GB87910133
...Seek R1 Distill Qwen 1.5B GGUF128K / 1.7 GB1026
Dhanishtha128K / 3.5 GB2425
Qwen2 1.5B Instruct GGUF32K / 0.7 GB1470
Qwen2 1.5B Instruct GGUF32K / 0.7 GB370
VibeThinker 1.5B Mlx 4bit128K / 0.9 GB16724
...ill Qwen 1.5B Unsloth Bnb 4bit128K / 1.8 GB690717
Eval Model128K / 7.1 GB31
DeepSeek R1 ForumNXT128K / 3.5 GB80
Research PathfinderAI128K / 3.5 GB190
Note: green Score (e.g. "73.2") means that the model is better than winninghealth/WiNGPT-Babel.

Rank the WiNGPT Babel Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a