Autotrain compatible Dataset:izumi-lab/llm-japanese... Endpoints compatible Gpt neox Instruct Region:us Safetensors Sharded Tensorflow
Bilingual GPT Neox 4B Instruction Sft En Ja 84K Benchmarks
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 Sft En Ja 84K Parameters and Internals
| LLM Name | Bilingual GPT Neox 4B Instruction Sft En Ja 84K |
| Repository 🤗 | https://huggingface.co/ryota39/bilingual-gpt-neox-4b-instruction-sft-en-ja-84k |
| Model Size | 4b |
| Required VRAM | 7.6 GB |
| Updated | 2024-09-07 |
| Maintainer | ryota39 |
| Model Type | gpt_neox |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| License | cc-by-sa-4.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Vocabulary Size | 65536 |
| Torch Data Type | bfloat16 |
Best Alternatives to Bilingual GPT Neox 4B Instruction Sft En Ja 84K
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 |
| ...al GPT Neox 4B Instruction Ppo | 2K / 7.7 GB | 575 | 15 |
Note: green Score (e.g. "73.2") means that the model is better than ryota39/bilingual-gpt-neox-4b-instruction-sft-en-ja-84k .
Rank the Bilingual GPT Neox 4B Instruction Sft En Ja 84K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803