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Henbane 7B Attempt2 by Edens-Gate

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Henbane 7B Attempt2 is an open-source language model by Edens-Gate. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-7b   Conversational   Endpoints compatible   Generated from trainer   Pytorch   Qwen2   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Edens-Gate/Henbane-7b-attempt2 

Henbane 7B Attempt2 Benchmarks

LLME Score: 0.16075
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Henbane 7B Attempt2 (Edens-Gate/Henbane-7b-attempt2)
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Henbane 7B Attempt2 Parameters and Internals

LLM NameHenbane 7B Attempt2
Repository 🤗https://huggingface.co/Edens-Gate/Henbane-7b-attempt2 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2026-05-26
MaintainerEdens-Gate
Model Typeqwen2
Model Files  15.2 GB: 1-of-2   0.0 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Henbane 7B Attempt2

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B V1.1986K / 15.2 GB191
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB91
Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen 2.5 7B Exp Sce986K / 15.2 GB72
Qwen2.5 7B MixStock V0.1986K / 15.2 GB113
Note: green Score (e.g. "73.2") means that the model is better than Edens-Gate/Henbane-7b-attempt2.

Rank the Henbane 7B Attempt2 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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