Tinyllama Coder Math Ja Wikipedia V0.1 is an open-source language model by yuiseki. Features: 1.1b LLM, VRAM: 0.7GB, Context: 2K, Quantized, Code Generating, LLM Explorer Score: 0.12.
Arxiv:1910.09700 Codegen Endpoints compatible F16 Ggml Gguf Llama Q4 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/yuiseki/tinyllama-coder-math-ja-wikipedia-v0.1
Tinyllama Coder Math Ja Wikipedia V0.1 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)
Tinyllama Coder Math Ja Wikipedia V0.1 Parameters and Internals
| LLM Name | Tinyllama Coder Math Ja Wikipedia V0.1 |
| Repository 🤗 | https://huggingface.co/yuiseki/tinyllama-coder-math-ja-wikipedia-v0.1 |
| Model Size | 1.1b |
| Required VRAM | 0.7 GB |
| Updated | 2026-07-28 |
| Maintainer | yuiseki |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q4|q4_k |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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| ...on Ja Wikipedia Amenokaku V0.1 | 2K / 0.7 GB | 31 | 0 |
| Tinyllama Coder Math Ja V0.1 | 2K / 0.7 GB | 29 | 0 |
| ...Coder Python Ja Amenokaku V0.1 | 2K / 0.7 GB | 36 | 0 |
| Tinyllama Coder Sql En V0.1 | 2K / 0.7 GB | 60 | 1 |
| Tinyllama Coder Math En V0.1 | 2K / 0.7 GB | 20 | 0 |
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| Tinyllama Coder Py V12 | 4K / 0.7 GB | 184 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than yuiseki/tinyllama-coder-math-ja-wikipedia-v0.1 .
Rank the Tinyllama Coder Math Ja Wikipedia V0.1 Capabilities
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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a