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Binary Clumsy Bear by samvelkoch

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Binary Clumsy Bear is an open-source language model by samvelkoch. Features: 1.8b LLM, VRAM: 7.3GB, Context: 8K, LLM Explorer Score: 0.14.

  Autotrain compatible   En   Gpt   H2o-llmstudio   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/samvelkoch/binary-clumsy-bear 

Binary Clumsy Bear Benchmarks

LLME Score: 0.14104
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Binary Clumsy Bear (samvelkoch/binary-clumsy-bear)
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Binary Clumsy Bear Parameters and Internals

Model Type 
gpt, large language model
LLM NameBinary Clumsy Bear
Repository 🤗https://huggingface.co/samvelkoch/binary-clumsy-bear 
Model Size1.8b
Required VRAM7.3 GB
Updated2025-09-27
Maintainersamvelkoch
Model Typemistral
Model Files  5.0 GB: 1-of-2   2.3 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Binary Clumsy Bear

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H2o Danube 1.8B Chat16K / 3.7 GB14955
H2o Danube 1.8B Base16K / 3.7 GB16243
Cypher Mini 1.8B16K / 3.7 GB1112
H2o Danube 1.8B Sft16K / 3.7 GB10711
PixieZehirNano16K / 3.7 GB100
Cypher CoT 1.8B16K / 3.7 GB121
...1.8B Chat Sft Merge Fourier V116K / 7.3 GB51
H2o Danube2 1.8B Chat8K / 3.7 GB38762
H2o Danube2 1.8B Base8K / 3.7 GB40447
H2o Danube2 1.8B Sft8K / 3.7 GB1206
Note: green Score (e.g. "73.2") means that the model is better than samvelkoch/binary-clumsy-bear.

Rank the Binary Clumsy Bear 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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