Autotrain compatible Dataset:cc100 Dataset:mc4 Dataset:wikipedia Gpt neox Ja Japanese Pytorch Region:us Sharded
Open Calm 7B Benchmarks
ARC: 20.48 vs 96.7 (so35)-78.8%
HellaSwag: 30.65 vs 95.3 (gpt4)-67.8%
MMLU: 25.22 vs 88.3 (so35)-71.4%
TruthfulQA: 44.15 vs 59 (gpt4)-25.2%
WinoGrande: 48.54 vs 87.5 (gpt4)-44.5%
GSM8K: 0.23 vs 96.4 (so35)-99.8%
LLME Score: 0.21997
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)
Open Calm 7B Parameters and Internals
| LLM Name | Open Calm 7B |
| Repository 🤗 | https://huggingface.co/cyberagent/open-calm-7b |
| Model Size | 7b |
| Required VRAM | 13.9 GB |
| Updated | 2024-09-07 |
| Maintainer | cyberagent |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | ja |
| Model Architecture | GPTNeoXForCausalLM |
| License | cc-by-sa-4.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.27.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|padding|> |
| Vocabulary Size | 52224 |
| Torch Data Type | float16 |
Best Alternatives to Open Calm 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Literature 7B 16384 | 16K / 36 GB | 54 | 13 |
| RedPajama 7B 16384 | 16K / 36 GB | 10 | 4 |
| Stablelm Tuned Alpha 7B | 4K / 31.9 GB | 2273 | 358 |
| Stablelm Base Alpha 7B | 4K / 31.9 GB | 977 | 210 |
| Stablelm 7B Sft V7 Epoch 3 | 4K / 32.4 GB | 789 | 67 |
| StableLManticore 7B | 4K / 16 GB | 8 | 1 |
| Pythia 6.9B Deduped 4K | 4K / 27.2 GB | 6 | 11 |
| Stablelm 7B | 4K / 31.9 GB | 8 | 2 |
| Sarashina1 7B | 2K / 13.9 GB | 578 | 0 |
| Dolly V2 7B | 2K / 13.8 GB | 3939 | 147 |
Note: green Score (e.g. "73.2") means that the model is better than cyberagent/open-calm-7b .
Rank the Open Calm 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803