Arxiv:1707.06347 Arxiv:2203.02155 Arxiv:2404.01657 Autotrain compatible Base model:finetune:rinna/bili... Base model:rinna/bilingual-gpt... Dataset:anthropic/hh-rlhf En Gpt neox Instruct Ja Pytorch Region:us Safetensors
Bilingual GPT Neox 4B Instruction Ppo Benchmarks
ARC: 28.24 vs 96.7 (so35)-70.8%
HellaSwag: 47.9 vs 95.3 (gpt4)-49.7%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 43.5 vs 59 (gpt4)-26.3%
WinoGrande: 52.25 vs 87.5 (gpt4)-40.3%
LLME Score: 0.2005
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)
Bilingual GPT Neox 4B Instruction Ppo Parameters and Internals
| LLM Name | Bilingual GPT Neox 4B Instruction Ppo |
| Repository 🤗 | https://huggingface.co/rinna/bilingual-gpt-neox-4b-instruction-ppo |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 7.7 GB |
| Updated | 2024-09-07 |
| Maintainer | rinna |
| Model Type | gpt_neox |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ja en |
| Model Architecture | GPTNeoXForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Tokenizer Class | T5Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 65536 |
| Torch Data Type | float16 |
Best Alternatives to Bilingual GPT Neox 4B Instruction Ppo
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al GPT Neox 4B Instruction Sft | 2K / 7.6 GB | 1126 | 18 |
| Tora 4B | 2K / 7.6 GB | 4 | 2 |
| ...x 4B Instruction Sft En Ja 84K | 2K / 7.6 GB | 4 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than rinna/bilingual-gpt-neox-4b-instruction-ppo .
Rank the Bilingual GPT Neox 4B Instruction Ppo Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803