What are the hardware requirements for Binary Clumsy Bear?

Binary Clumsy Bear requires approximately 7.3 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Binary Clumsy Bear and how large is it?

Binary Clumsy Bear is developed by samvelkoch, a model with 1.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Binary Clumsy Bear?

Binary Clumsy Bear is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Binary Clumsy Bear by samvelkoch — VRAM 7.3GB, 8K context

Name: Binary Clumsy Bear
Author: samvelkoch

Binary Clumsy Bear is an open-source language model by samvelkoch. Features: 1.8b LLM, VRAM: 7.3GB, Context: 8K, LLM Explorer Score: 0.13.

En Gpt H2o-llmstudio Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/samvelkoch/binary-clumsy-bear

Binary Clumsy Bear Parameters and Internals

Model Type

gpt, large language model

LLM Name	Binary Clumsy Bear
Repository 🤗	https://huggingface.co/samvelkoch/binary-clumsy-bear
Model Size	1.8b
Required VRAM	7.3 GB
Updated	2026-07-26
Maintainer	samvelkoch
Model Type	mistral
Model Files	5.0 GB: 1-of-2 2.3 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Binary Clumsy Bear capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Binary Clumsy Bear

Best Alternatives	Context / RAM	Downloads	Likes
H2o Danube 1.8B Chat	16K / 3.7 GB	267	55
H2o Danube 1.8B Base	16K / 3.7 GB	132	43
Cypher Mini 1.8B	16K / 3.7 GB	83	2
H2o Danube 1.8B Sft	16K / 3.7 GB	91	11
PixieZehirNano	16K / 3.7 GB	10	0
Cypher CoT 1.8B	16K / 3.7 GB	5	1
...1.8B Chat Sft Merge Fourier V1	16K / 7.3 GB	3	1
H2o Danube2 1.8B Base	8K / 3.7 GB	346	47
H2o Danube2 1.8B Chat	8K / 3.7 GB	222	62
H2o Danube2 1.8B Sft	8K / 3.7 GB	109	6

Note: green Score (e.g. "73.2") means that the model is better than samvelkoch/binary-clumsy-bear.