Autotrain compatible Bloom Ca Catalan Dataset:teknium/openhermes-2.5 En Endpoints compatible English Es Flor Model-index Pytorch Region:us Sharded Spanish
OpenHermes 2.5 FLOR 6.3B Benchmarks
ARC: 33.45 vs 96.7 (so35)-65.4%
HellaSwag: 54.53 vs 95.3 (gpt4)-42.8%
MMLU: 25.18 vs 88.3 (so35)-71.5%
TruthfulQA: 46.12 vs 59 (gpt4)-21.8%
WinoGrande: 62.98 vs 87.5 (gpt4)-28%
LLME Score: 0.23392
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)
OpenHermes 2.5 FLOR 6.3B Parameters and Internals
| LLM Name | OpenHermes 2.5 FLOR 6.3B |
| Repository 🤗 | https://huggingface.co/xaviviro/OpenHermes-2.5-FLOR-6.3B |
| Model Size | 6.3b |
| Required VRAM | 13 GB |
| Updated | 2024-09-20 |
| Maintainer | xaviviro |
| Model Type | bloom |
| Model Files | |
| Supported Languages | en es ca |
| Model Architecture | BloomForCausalLM |
| License | apache-2.0 |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50260 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to OpenHermes 2.5 FLOR 6.3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| FLOR RAG EADOP | 0K / 12.4 GB | 5 | 0 |
| FLOR 6.3B Xat | 0K / 12.5 GB | 7 | 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 |
Rank the OpenHermes 2.5 FLOR 6.3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803