Arxiv:2404.01657 Autotrain compatible Dataset:anthropic/hh-rlhf En Gpt neox Instruct Ja Pytorch Region:us Safetensors
Bilingual GPT Neox 4B Instruction Sft Benchmarks
ARC: 28.07-70.9%
HellaSwag: 47.5-50.2%
MMLU: 23.12-73.3%
TruthfulQA: 43.76-25.8%
WinoGrande: 52.33-40.2%
nn.n% — How the model compares to the GPT-4.
Bilingual GPT Neox 4B Instruction Sft Parameters and Internals
| LLM Name | Bilingual GPT Neox 4B Instruction Sft |
| Repository | Open on 🤗 |
| Model Size | 4b |
| Required VRAM | 7.6 GB |
| Updated | 2024-07-27 |
| 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 Sft
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Tora 4B | 0.2 | 2K / 7.6 GB | 11 | 2 |
| ...al GPT Neox 4B Instruction Ppo | 0.2 | 2K / 7.7 GB | 1332 | 15 |
| ...x 4B Instruction Sft En Ja 84K | 0.2 | 2K / 7.6 GB | 14 | 1 |
Rank the Bilingual GPT Neox 4B Instruction Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501