Arxiv:2302.13971 Arxiv:2306.05685 Arxiv:2306.11695 Autotrain compatible Llama Region:us Safetensors Sharded Tensorflow
Vicuna 7B V1.3 Attention Sparsity 30 Benchmarks
ARC: 51.02-47%
HellaSwag: 76.41-19.8%
MMLU: 46.83-45.9%
TruthfulQA: 46.06-21.9%
WinoGrande: 69.3-20.8%
GSM8K: 12.36-86.6%
nn.n% — How the model compares to the GPT-4.
Vicuna 7B V1.3 Attention Sparsity 30 Parameters and Internals
| LLM Name | Vicuna 7B V1.3 Attention Sparsity 30 |
| Repository | Open on 🤗 |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2024-07-27 |
| Maintainer | wang7776 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Vicuna 7B V1.3 Attention Sparsity 30
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HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 0.2 | 1024K / 13.5 GB | 296 | 1 |
| Yarn Llama 2 7B 128K | 0.2 | 128K / 13.5 GB | 12746 | 38 |
| LLaMA 7B PoSE YaRN 128K | 0.2 | 128K / 13.5 GB | 28 | 2 |
| LLaMA 7B PoSE YaRN 96K | 0.2 | 96K / 13.5 GB | 11 | 1 |
| LLaMA 7B PoSE Linear 96K | 0.2 | 96K / 27 GB | 11 | 1 |
| Chat Llama2 7B 80K | 0.2 | 80K / 13.8 GB | 11 | 0 |
| Llama2 7B 80K | 0.2 | 80K / 13.8 GB | 8 | 0 |
| Lloma Step400 | 0.3 | 64K / 13.5 GB | 294 | 0 |
| Lloma Step200 | 0.3 | 64K / 13.5 GB | 298 | 0 |
| Lloma Step50 | 0.2 | 64K / 13.5 GB | 297 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than wang7776/vicuna-7b-v1.3-attention-sparsity-30 .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501