CalmaCatCoder is an open-source language model by ViorikaAI-org. Features: 280m LLM, VRAM: 1.1GB, Context: 4K, License: other, LLM Explorer Score: 0.27.
Model Card on HF 🤗: https://huggingface.co/ViorikaAI-org/CalmaCatCoder
CalmaCatCoder Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
CalmaCatCoder Parameters and Internals
| LLM Name | CalmaCatCoder |
| Repository 🤗 | https://huggingface.co/ViorikaAI-org/CalmaCatCoder |
| Model Size | 280m |
| Required VRAM | 1.1 GB |
| Updated | 2026-07-27 |
| Maintainer | ViorikaAI-org |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 5.14.1 |
| Tokenizer Class | Qwen2TokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 16384 |
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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a