Arxiv:2403.04652 Autotrain compatible Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Yi 1.5 9B 32K Benchmarks
MMLU Pro: 30.72
GPQA: 14.54
MUSR: 10.83
BBH: 28.94
IFEval: 23.03 vs 88 (so35)-73.8%
ARC: 61.09 vs 96.7 (so35)-36.8%
HellaSwag: 79.83 vs 95.3 (gpt4)-16.2%
MMLU: 70.97 vs 88.3 (so35)-19.6%
TruthfulQA: 42.53 vs 59 (gpt4)-27.9%
WinoGrande: 76.87 vs 87.5 (gpt4)-12.1%
MATH Lvl 5: 9.59
LLME Score: 0.3743
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)
Yi 1.5 9B 32K Parameters and Internals
| LLM Name | Yi 1.5 9B 32K |
| Repository 🤗 | https://huggingface.co/01-ai/Yi-1.5-9B-32K |
| Model Size | 9b |
| Required VRAM | 17.7 GB |
| Updated | 2024-09-07 |
| Maintainer | 01-ai |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 1.5 9B 32K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 9B 200K | 256K / 17.7 GB | 16503 | 75 |
| BigYi 15.75B 200K | 256K / 30.3 GB | 7 | 0 |
| Yi Coder 9B Chat | 128K / 17.7 GB | 1035 | 82 |
| Yi Coder 9B | 128K / 17.7 GB | 53 | 22 |
| Faro Yi 9B DPO | 32K / 17.7 GB | 5198 | 30 |
| Faro Yi 9B | 32K / 17.7 GB | 5141 | 17 |
| Openbuddy Yi1.5 9B V21.1 32K | 32K / 17.8 GB | 664 | 1 |
| Yi 1.5 9B Chat 16K | 16K / 17.7 GB | 50014 | 31 |
| Peach 9B 8K Roleplay | 16K / 17.7 GB | 3149 | 75 |
| Yi 1.5 9B Chat 16K Abliterated | 16K / 17.7 GB | 38 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than 01-ai/Yi-1.5-9B-32K .
Rank the Yi 1.5 9B 32K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803