Tinyllama 110M Fp32 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 110M Fp32 Parameters and Internals
| LLM Name | Tinyllama 110M Fp32 |
| Repository 🤗 | https://huggingface.co/nickypro/tinyllama-110M-fp32 |
| Model Size | 110m |
| Required VRAM | 0.4 GB |
| Updated | 2024-09-07 |
| Maintainer | nickypro |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.33.1 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
Best Alternatives to Tinyllama 110M Fp32
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| BigWeave V20 110B | 4K / 220 GB | 56 | 0 |
| HelpingAI 110M | 1K / 0.2 GB | 508 | 2 |
| Tinybooks 110M Idiot Iter1000 | 1K / 0.4 GB | 6 | 0 |
| TinyStoriesChinese 110M | 1K / 0.4 GB | 3 | 1 |
| Tinyllama 110M | 1K / 0.2 GB | 2290 | 3 |
| Llama 110M | 1K / 0.2 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than nickypro/tinyllama-110M-fp32 .
Rank the Tinyllama 110M Fp32 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803