Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gpt neo Region:us Safetensors Sharded Tensorflow
PRIME2 Openai 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)
PRIME2 Openai Parameters and Internals
| LLM Name | PRIME2 Openai |
| Repository 🤗 | https://huggingface.co/Klevin/PRIME2-openai |
| Model Size | 2.7b |
| Required VRAM | 6.6 GB |
| Updated | 2024-09-07 |
| Maintainer | Klevin |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 50259 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to PRIME2 Openai
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ChildModel 02 | 2K / 5.3 GB | 5 | 0 |
| GPT Neo 2.7B Lama | 2K / 10.6 GB | 5 | 0 |
| EleutherAI GPT Neo 2.7B 4bits | 2K / 1.7 GB | 11 | 0 |
| Pygmalion 2.7B | 2K / 5.4 GB | 1214 | 52 |
| GPT Neo 2.7B | 2K / 10.7 GB | 76608 | 414 |
| ... Style Transfer Using Examples | 2K / 5.4 GB | 5 | 1 |
| Pygmalion 2.7B | 2K / 0 GB | 5 | 1 |
| GPT Neo 2.7B Horni | 2K / 6.6 GB | 78 | 0 |
| GPT Neo 2.7B Shinen | 2K / 6.6 GB | 60 | 0 |
| GPT Neo 2.7B Horni LN | 2K / 6.6 GB | 24 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Klevin/PRIME2-openai .
Rank the PRIME2 Openai Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803