Arxiv:1910.09700 Dataset:tatsu-lab/alpaca Dataset:yahma/alpaca-cleaned En Endpoints compatible Lora Region:us
Alpaca Cerebras 6.7B 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)
Alpaca Cerebras 6.7B Parameters and Internals
| LLM Name | Alpaca Cerebras 6.7B |
| Repository 🤗 | https://huggingface.co/bjoernp/alpaca-cerebras-6.7B |
| Model Size | 6.7b |
| Required VRAM | 0 GB |
| Updated | 2024-09-16 |
| Maintainer | bjoernp |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | c_attn |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
Best Alternatives to Alpaca Cerebras 6.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Cerebras GPT 6.7B | 0K / 26.8 GB | 992 | 65 |
| Vigogne Opt 6.7B Instruct | 0K / 0 GB | 0 | 2 |
| ...pseek Coder 6.7B Instruct GGUF | 0K / 2.8 GB | 6637 | 168 |
| ...ydecompiler 3.7 6.7B V0.9 GGUF | 0K / 2.5 GB | 67 | 0 |
| ...enCodeInterpreter DS 6.7B GGUF | 0K / 2.5 GB | 136 | 2 |
| Magicoder S DS 6.7B GGUF | 0K / 2.8 GB | 550 | 76 |
| Deepseek Coder 6.7B Base GGUF | 0K / 2.8 GB | 1485 | 11 |
Note: green Score (e.g. "73.2") means that the model is better than bjoernp/alpaca-cerebras-6.7B .
Rank the Alpaca Cerebras 6.7B 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? 35926 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803