Arsh Llm is an open-source language model by Arsh-ai. Features: 503.4m LLM, VRAM: 2GB, Context: 1K, License: mit, Instruction-Based, LLM Explorer Score: 0.2.
Conversational Dataset:abhinand/alpaca-gpt4-s... Dataset:ajibawa-2023/slimorca-... Dataset:christophschuhmann/bas... Dataset:hkust-nlp/dart-math-po... Dataset:huggingfaceh4/math-500 Dataset:junelee/wizard vicuna ... Dataset:limyeri/python code in... Dataset:meta-math/metamathqa Dataset:roneneldan/tinystories Dataset:salesforce/wikitext Dataset:shibing624/sharegpt gp... Dataset:tiger-lab/mathinstruct En Endpoints compatible Instruct Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Arsh-ai/Arsh-llm
Arsh Llm 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)
Arsh Llm Parameters and Internals
| LLM Name | Arsh Llm |
| Repository 🤗 | https://huggingface.co/Arsh-ai/Arsh-llm |
| Model Size | 503.4m |
| Required VRAM | 2 GB |
| Updated | 2026-03-26 |
| Maintainer | Arsh-ai |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|eot_id|> |
| Vocabulary Size | 32768 |
| Torch Data Type | float32 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a