FLOR RAG EADOP 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)
FLOR RAG EADOP Parameters and Internals
| LLM Name | FLOR RAG EADOP |
| Repository 🤗 | https://huggingface.co/crodri/FLOR_RAG_EADOP |
| Model Size | 6.3b |
| Required VRAM | 12.4 GB |
| Updated | 2024-09-07 |
| Maintainer | crodri |
| Model Type | bloom |
| Model Files | |
| Model Architecture | BloomForCausalLM |
| License | apache-2.0 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to FLOR RAG EADOP
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenHermes 2.5 FLOR 6.3B | 0K / 13 GB | 58 | 1 |
| FLOR 6.3B Xat | 0K / 12.5 GB | 8 | 0 |
| FLOR 6.3B Instructed | 0K / 12.4 GB | 0 | 0 |
| FlorRAG | 0K / 12.4 GB | 0 | 0 |
| FLOR 6.3B | 0K / 12.5 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than crodri/FLOR_RAG_EADOP .
Rank the FLOR RAG EADOP Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803