Arxiv:2401.16818 Autotrain compatible Conversational En Endpoints compatible Gpt H2o-llmstudio Mistral Region:us Safetensors
H2o Danube2 1.8B Sft Benchmarks
ARC: 42.66 vs 96.7 (so35)-55.9%
HellaSwag: 72.75 vs 95.3 (gpt4)-23.7%
MMLU: 35.9 vs 88.3 (so35)-59.3%
TruthfulQA: 38.7 vs 59 (gpt4)-34.4%
WinoGrande: 68.51 vs 87.5 (gpt4)-21.7%
GSM8K: 25.63 vs 96.4 (so35)-73.4%
LLME Score: 0.28671
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)
H2o Danube2 1.8B Sft Parameters and Internals
| LLM Name | H2o Danube2 1.8B Sft |
| Repository 🤗 | https://huggingface.co/h2oai/h2o-danube2-1.8b-sft |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2024-09-07 |
| Maintainer | h2oai |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to H2o Danube2 1.8B Sft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| H2o Danube 1.8B Chat | 16K / 3.7 GB | 4033 | 55 |
| H2o Danube 1.8B Base | 16K / 3.7 GB | 759 | 43 |
| Cypher Mini 1.8B | 16K / 3.7 GB | 64 | 2 |
| H2o Danube 1.8B Sft | 16K / 3.7 GB | 263 | 11 |
| PixieZehirNano | 16K / 3.7 GB | 12 | 0 |
| Cypher CoT 1.8B | 16K / 3.7 GB | 7 | 1 |
| ...1.8B Chat Sft Merge Fourier V1 | 16K / 7.3 GB | 10 | 1 |
| H2o Danube2 1.8B Chat | 8K / 3.7 GB | 7334 | 55 |
| H2o Danube2 1.8B Base | 8K / 3.7 GB | 1102 | 43 |
| Binary Clumsy Bear | 8K / 7.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2o-danube2-1.8b-sft .
Rank the H2o Danube2 1.8B Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803