4-bit Autotrain compatible Bitsandbytes Code Dataset:iamtarun/python code i... En Endpoints compatible Instruct Llama Pytorch Region:us
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
| LLM Name | Tinyllama Python |
| Repository 🤗 | https://huggingface.co/rahuldshetty/tinyllama-python |
| Required VRAM | 2.2 GB |
| Updated | 2024-09-08 |
| 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
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Context / RAM |
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Likes |
|---|---|---|---|
| Reverse Instruct | 32K / 27 GB | 5 | 3 |
| Etri Ones Solar | 4K / 42.9 GB | 87 | 0 |
| Law Chat | 4K / 27 GB | 937 | 33 |
| Phi 3 Orpo V8.16 | 4K / 7.6 GB | 15 | 0 |
| Small Instruct | 4K / 2.9 GB | 3590 | 1 |
| Taiwan LLaMa V1.0 | 4K / 26 GB | 33 | 76 |
| Model 007 Preview | 4K / 138 GB | 67 | 1 |
| Taiwan LLaMa V0.0 | 4K / 26 GB | 13 | 1 |
| Taiwan LLaMa V0.9 | 4K / 26 GB | 12 | 0 |
| Kolong Llama V0.1 | 2K / 13.7 GB | 3570 | 0 |
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.
Release v2024072803