Yi 34B V2 Benchmarks
ARC: 66.13 vs 96.7 (so35)-31.6%
HellaSwag: 85 vs 95.3 (gpt4)-10.8%
MMLU: 75.64 vs 88.3 (so35)-14.3%
TruthfulQA: 57.34 vs 59 (gpt4)-2.8%
WinoGrande: 83.66 vs 87.5 (gpt4)-4.4%
GSM8K: 64.97 vs 96.4 (so35)-32.6%
LLME Score: 0.19613
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 34B V2 Parameters and Internals
| LLM Name | Yi 34B V2 |
| Repository 🤗 | https://huggingface.co/mncai/yi-34B-v2 |
| Model Size | 34b |
| Required VRAM | 68.9 GB |
| Updated | 2024-10-04 |
| Maintainer | mncai |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 34B V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 34B Beta | 195K / 69.2 GB | 2870 | 61 |
| Yi 34B 200K | 195K / 68.9 GB | 4121 | 313 |
| Smaug 34B V0.1 | 195K / 69.2 GB | 2886 | 59 |
| Bagel Hermes 34B Slerp | 195K / 68.9 GB | 3262 | 1 |
| Bagel 34B V0.2 | 195K / 68.7 GB | 3029 | 39 |
| Yi 34B 200K AEZAKMI V2 | 195K / 69.2 GB | 851 | 12 |
| Smaug 34B V0.1 ExPO | 195K / 69.2 GB | 2253 | 0 |
| Bagel DPO 34B V0.5 | 195K / 68.7 GB | 2291 | 17 |
| Faro Yi 34B | 195K / 69.2 GB | 2886 | 6 |
| Merged RP Stew V2 34B | 195K / 68.9 GB | 382 | 48 |
Note: green Score (e.g. "73.2") means that the model is better than mncai/yi-34B-v2 .
Rank the Yi 34B V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803