Bbhqwen2 by sumink

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Bbhqwen2 is an open-source language model by sumink. Features: 3.1b LLM, VRAM: 12.3GB, Context: 32K, LLM Explorer Score: 0.19.

  Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Bbhqwen2 Benchmarks

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

Bbhqwen2 Parameters and Internals

LLM NameBbhqwen2
Repository 🤗https://huggingface.co/sumink/bbhqwen2 
Model Size3.1b
Required VRAM12.3 GB
Updated2026-05-17
Maintainersumink
Model Typeqwen2
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   2.4 GB: 3-of-3
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

Best Alternatives to Bbhqwen2

Best Alternatives
Context / RAM
Downloads
Likes
Saba Passthrough 2128K / 6.2 GB210
Legal Qwen India32K / 2.2 GB2262
Augmented 619958b5bf46bea232K / 6.2 GB450
Augmented 0defe3c8c8c799fb32K / 6.2 GB430
OpenCognito R232K / 6.2 GB2590
TethysAI Vortex Reasoning32K / 6.2 GB110
Bbhqwen32K / 12.3 GB150
Bbhqwen432K / 12.3 GB130
Bbhqwen532K / 12.3 GB60
Bbhqwen332K / 12.3 GB120
Note: green Score (e.g. "73.2") means that the model is better than sumink/bbhqwen2.

Rank the Bbhqwen2 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