Autotrain compatible Base model:finetune:vonjack/ph... Base model:vonjack/phi-3-mini-... Conversational De En Endpoints compatible Instruct Llama Orpo Pytorch Region:us Sharded Trl Unsloth
Phi 3 Orpo V8.16 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)
Phi 3 Orpo V8.16 Parameters and Internals
| LLM Name | Phi 3 Orpo V8.16 |
| Repository 🤗 | https://huggingface.co/cstr/phi-3-orpo-v8_16 |
| Base Model(s) | |
| Required VRAM | 7.6 GB |
| Updated | 2024-09-06 |
| Maintainer | cstr |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en de |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to Phi 3 Orpo V8.16
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reverse Instruct | 32K / 27 GB | 5 | 3 |
| Etri Ones Solar | 4K / 42.9 GB | 87 | 0 |
| Law Chat | 4K / 27 GB | 937 | 33 |
| Small Instruct | 4K / 2.9 GB | 3590 | 1 |
| Tinyllama Python | 4K / 2.2 GB | 3 | 1 |
| Taiwan LLaMa V1.0 | 4K / 26 GB | 33 | 76 |
| Model 007 Preview | 4K / 138 GB | 67 | 1 |
| Taiwan LLaMa V0.0 | 4K / 26 GB | 13 | 1 |
| Taiwan LLaMa V0.9 | 4K / 26 GB | 12 | 0 |
| Kolong Llama V0.1 | 2K / 13.7 GB | 3570 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cstr/phi-3-orpo-v8_16 .
Rank the Phi 3 Orpo V8.16 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