Tinyllama Python is an open-source language model by rahuldshetty. Features: LLM, VRAM: 2.2GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11.
4-bit Bitsandbytes Code Dataset:iamtarun/python code i... En Endpoints compatible Instruct Llama Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/rahuldshetty/tinyllama-python
Tinyllama Python 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 Python Parameters and Internals
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| LLM Name | Tinyllama Python |
| Repository 🤗 | https://huggingface.co/rahuldshetty/tinyllama-python |
| Required VRAM | 2.2 GB |
| Updated | 2026-03-29 |
| Maintainer | rahuldshetty |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Tinyllama Python
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reverse Instruct | 32K / 27 GB | 12 | 3 |
| Etri Ones Solar | 4K / 42.9 GB | 875 | 0 |
| Phi 3 Orpo V8.16 | 4K / 7.6 GB | 27 | 0 |
| UltraLink LM | 4K / 52.3 GB | 14 | 5 |
| Small Instruct | 4K / 2.9 GB | 9 | 1 |
| Taiwan LLaMa V1.0 | 4K / 26 GB | 35 | 78 |
| Taiwan LLaMa V0.0 | 4K / 26 GB | 8 | 1 |
| Taiwan LLaMa V0.9 | 4K / 26 GB | 7 | 0 |
| Wongwian Micro Instruct | 2K / 0.5 GB | 1219 | 0 |
| Llama2 Ja Small Instruct | 2K / 1.7 GB | 8 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than rahuldshetty/tinyllama-python .
Rank the Tinyllama Python Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a