Arxiv:2404.00495 Autotrain compatible Conversational Dataset:vicgalle/configurable-... Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow
Configurable Yi 1.5 9B Chat Benchmarks
ARC: 64.16-33.4%
HellaSwag: 81.7-14.3%
MMLU: 70.99-17.9%
TruthfulQA: 58.75-0.4%
WinoGrande: 76.8-12.2%
GSM8K: 70.58-23.3%
nn.n% — How the model compares to the GPT-4.
Configurable Yi 1.5 9B Chat Parameters and Internals
| LLM Name | Configurable Yi 1.5 9B Chat |
| Repository | Open on 🤗 |
| Model Size | 9b |
| Required VRAM | 17.7 GB |
| Updated | 2024-07-27 |
| Maintainer | vicgalle |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Configurable Yi 1.5 9B Chat
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Yi 9B 200K | 0.4 | 256K / 17.7 GB | 6910 | 74 |
| BigYi 15.75B 200K | 0.2 | 256K / 30.3 GB | 237 | 0 |
| Yi 1.5 9B 32K | 0.4 | 32K / 17.7 GB | 6325 | 18 |
| Faro Yi 9B | 0.3 | 32K / 17.7 GB | 9412 | 15 |
| Faro Yi 9B DPO | 0.3 | 32K / 17.7 GB | 4045 | 30 |
| Openbuddy Yi1.5 9B V21.1 32K | 0.3 | 32K / 17.8 GB | 1361 | 1 |
| Yi 1.5 9B Chat 16K | 0.4 | 16K / 17.7 GB | 37579 | 29 |
| Dolphin 2.9.1 Yi 1.5 9B | 0.3 | 11K / 17.7 GB | 3606 | 23 |
| Yi 1.5 Dolphin 9B | 0.3 | 8K / 17.7 GB | 5462 | 0 |
| Med Yi 1.5 9B | 0.3 | 8K / 17.7 GB | 1872 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Configurable-Yi-1.5-9B-Chat .
Rank the Configurable Yi 1.5 9B Chat Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501