Arxiv:1910.09700 Autotrain compatible Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Hp Lat Llama No PCA Epsilon1.5 Pgd Layer9 Rmu Layer12 Wikitext RMU 76 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)
Hp Lat Llama No PCA Epsilon1.5 Pgd Layer9 Rmu Layer12 Wikitext RMU 76 Parameters and Internals
| LLM Name | Hp Lat Llama No PCA Epsilon1.5 Pgd Layer9 Rmu Layer12 Wikitext RMU 76 |
| Repository 🤗 | https://huggingface.co/PhillipGuo/hp-lat-llama-No_PCA-epsilon1.5-pgd_layer9-rmu_layer12-wikitext-RMU-76 |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2024-09-01 |
| Maintainer | PhillipGuo |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.38.0 |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Hp Lat Llama No PCA Epsilon1.5 Pgd Layer9 Rmu Layer12 Wikitext RMU 76
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| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 56 | 1 |
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| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 3 | 1 |
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| Lloma Step200 | 64K / 13.5 GB | 62 | 0 |
| Lloma Step50 | 64K / 13.5 GB | 54 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than PhillipGuo/hp-lat-llama-No_PCA-epsilon1.5-pgd_layer9-rmu_layer12-wikitext-RMU-76 .
Rank the Hp Lat Llama No PCA Epsilon1.5 Pgd Layer9 Rmu Layer12 Wikitext RMU 76 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803