Autotrain compatible Chat Conversational En Endpoints compatible Moe Qwen2 moe Region:us Safetensors Sharded Tensorflow
Qwen1.5 MoE A2.7B Chat Benchmarks
ARC: 53.67-44.3%
HellaSwag: 80.54-15.5%
MMLU: 60.97-29.5%
TruthfulQA: 50.56-14.3%
WinoGrande: 69.38-20.7%
GSM8K: 28.2-69.3%
nn.n% — How the model compares to the GPT-4.
Qwen1.5 MoE A2.7B Chat Parameters and Internals
| LLM Name | Qwen1.5 MoE A2.7B Chat |
| Repository | Open on 🤗 |
| Model Size | 14.3b |
| Required VRAM | 28.7 GB |
| Updated | 2024-07-27 |
| Maintainer | Qwen |
| Model Type | qwen2_moe |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2MoeForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
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Context/RAM |
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| Qwen1.5 MoE A2.7B | 0.4 | 8K / 28.7 GB | 6141 | 183 |
| Qwen1.5 MoE A2.7B Wikihow | 0.2 | 8K / 28.7 GB | 27 | 1 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501