Autotrain compatible Conversational Dataset:huggingfaceh4/ultrafee... En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Zh
Yi 6B 200K DPO Benchmarks
ARC: 43.09 vs 96.7 (so35)-55.4%
HellaSwag: 74.53 vs 95.3 (gpt4)-21.8%
MMLU: 64 vs 88.3 (so35)-27.5%
TruthfulQA: 45.51 vs 59 (gpt4)-22.9%
WinoGrande: 73.09 vs 87.5 (gpt4)-16.5%
GSM8K: 11.37 vs 96.4 (so35)-88.2%
LLME Score: 0.2192
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 6B 200K DPO Parameters and Internals
| LLM Name | Yi 6B 200K DPO |
| Repository 🤗 | https://huggingface.co/chinoll/Yi-6b-200k-dpo |
| Model Size | 6b |
| Required VRAM | 12.1 GB |
| Updated | 2024-09-07 |
| Maintainer | chinoll |
| Model Type | llama |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 6B 200K DPO
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 6B 200K | 195K / 12.1 GB | 4922 | 173 |
| Wukong Yi 6B 200K | 195K / 12.1 GB | 8 | 1 |
| Yi 6B 200K AEZAKMI V2 | 195K / 12.1 GB | 676 | 1 |
| Barcenas 6B 200K | 195K / 12.1 GB | 692 | 2 |
| Yi 6B 200K Llama | 195K / 12.1 GB | 13 | 5 |
| Yi 6B 200K Llamafied | 195K / 12.1 GB | 10 | 11 |
| Chatglm2 6B Port Llama | 32K / 12.5 GB | 56 | 4 |
| Miqu 6B Truthy | 31K / 11.3 GB | 66 | 1 |
| Llama 3 6B V0.1 | 8K / 12.6 GB | 138 | 12 |
| Pruned Llama 3 Oasis 6B | 8K / 13 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than chinoll/Yi-6b-200k-dpo .
Rank the Yi 6B 200K DPO Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803