Ruadapt Mistral Saiga 7B V0.1 Parameters and Internals
| LLM Name | Ruadapt Mistral Saiga 7b V0.1 |
| Repository | Open on 🤗 |
| Model Size | 7b |
| Required VRAM | 0.1 GB |
| Updated | 2024-07-27 |
| Maintainer | rccmsu |
| Model Files | |
| Supported Languages | ru |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj|k_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
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| ...al 7B Instruct V0.3 1719344430 | 0.3 | 0K / 3.5 GB | 86 | 0 |
| ...al 7B Instruct V0.3 1719350528 | 0.3 | 0K / 0.9 GB | 80 | 0 |
| ...al 7B Instruct V0.3 1719098465 | 0.3 | 0K / 0 GB | 94 | 0 |
| ...al 7B Instruct V0.3 1719301256 | 0.3 | 0K / 0.9 GB | 77 | 0 |
| ...al 7B Instruct V0.3 1719255815 | 0.3 | 0K / 0 GB | 81 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than rccmsu/ruadapt_mistral_saiga_7b_v0.1 .
Rank the Ruadapt Mistral Saiga 7B V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501