Autotrain compatible Conversational Dataset:locutusque/hercules-v4... En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Hercules Mini 1.8B Benchmarks
ARC: 37.03 vs 96.7 (so35)-61.7%
HellaSwag: 59.53 vs 95.3 (gpt4)-37.5%
MMLU: 44.77 vs 88.3 (so35)-49.3%
TruthfulQA: 39.24 vs 59 (gpt4)-33.5%
WinoGrande: 62.27 vs 87.5 (gpt4)-28.8%
GSM8K: 30.55 vs 96.4 (so35)-68.3%
LLME Score: 0.24591
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)
Hercules Mini 1.8B Parameters and Internals
| LLM Name | Hercules Mini 1.8B |
| Repository 🤗 | https://huggingface.co/M4-ai/Hercules-Mini-1.8B |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2024-09-07 |
| Maintainer | M4-ai |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Hercules Mini 1.8B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 1.8B | 32K / 3.7 GB | 660752 | 43 |
| Qwen1.5 1.8B Chat | 32K / 3.7 GB | 25337 | 44 |
| Orca 2.0 Tau 1.8B | 32K / 3.7 GB | 260 | 8 |
| Neural Chat Mini V2.2 1.8B | 32K / 3.7 GB | 54 | 5 |
| Sailor 1.8B Chat | 32K / 3.7 GB | 722 | 4 |
| Qwen1.5 1.8B Seed Sft | 32K / 3.7 GB | 6 | 0 |
| Qwen1.5 Wukong 1.8B | 32K / 3.7 GB | 6 | 4 |
| SmartQwen1.5 1.8B Orpo V1 | 32K / 3.7 GB | 6 | 0 |
| Coder1.8 ORPO TEST | 32K / 3.7 GB | 9 | 2 |
| Tau 1.8B | 32K / 3.7 GB | 65 | 12 |
Note: green Score (e.g. "73.2") means that the model is better than M4-ai/Hercules-Mini-1.8B .
Rank the Hercules Mini 1.8B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803