Miqu 1 70B Pytorch Parameters and Internals
| LLM Name | Miqu 1 70B Pytorch |
| Repository | Open on 🤗 |
| Model Size | 70b |
| Required VRAM | 41.4 GB |
| Updated | 2024-07-27 |
| Maintainer | alpindale |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32764 |
| Model Max Length | 32764 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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| ... 3 70B Instruct Gradient 1048K | 0.3 | 1024K / 141.9 GB | 2794 | 114 |
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| ...a 3 70B Instruct Gradient 262K | 0.3 | 256K / 141.9 GB | 1637 | 54 |
| ...ama 3 70B Arimas Story RP V2.0 | 0.3 | 256K / 141.1 GB | 171 | 3 |
| ...ama 3 70B Arimas Story RP V1.5 | 0.3 | 256K / 141.2 GB | 170 | 2 |
| ...ama 3 70B Arimas Story RP V1.6 | 0.2 | 256K / 141.2 GB | 16 | 0 |
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| ...3.1 70B Japanese Instruct 2407 | 0.4 | 128K / 141.9 GB | 38 | 23 |
Note: green Score (e.g. "73.2") means that the model is better than alpindale/miqu-1-70b-pytorch .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501