Titanbagel Benchmarks
ARC: 62.71 vs 96.7 (so35)-35.1%
HellaSwag: 83.36 vs 95.3 (gpt4)-12.5%
MMLU: 63.12 vs 88.3 (so35)-28.5%
TruthfulQA: 52.49 vs 59 (gpt4)-11%
WinoGrande: 79.08 vs 87.5 (gpt4)-9.6%
GSM8K: 44.5 vs 96.4 (so35)-53.8%
LLME Score: 0.20585
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)
Titanbagel Parameters and Internals
| LLM Name | Titanbagel |
| Repository 🤗 | https://huggingface.co/cookinai/titanbagel |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-22 |
| Maintainer | cookinai |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Titanbagel
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 59 | 1 |
| ... Qwen2.5llamaify 7B V23.1 200K | 195K / 15.2 GB | 1052 | 0 |
| Yarn Llama 2 7B 128K | 128K / 13.5 GB | 1564 | 38 |
| LLaMA 7B PoSE YaRN 128K | 128K / 13.5 GB | 5 | 3 |
| LLaMA 7B PoSE Linear 96K | 96K / 27 GB | 6 | 2 |
| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 3 | 1 |
| Chat Llama2 7B 80K | 80K / 13.8 GB | 14 | 0 |
| Llama2 7B 80K | 80K / 13.8 GB | 6 | 0 |
| Lloma Step400 | 64K / 13.5 GB | 55 | 0 |
| Lloma Step200 | 64K / 13.5 GB | 57 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cookinai/titanbagel .
Rank the Titanbagel Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803