LaMini Neo 1.3B Mental Health Lora Benchmarks
ARC: 25.77 vs 96.7 (so35)-73.4%
HellaSwag: 25.67 vs 95.3 (gpt4)-73.1%
MMLU: 27 vs 88.3 (so35)-69.4%
TruthfulQA: 48.21 vs 59 (gpt4)-18.3%
WinoGrande: 49.17 vs 87.5 (gpt4)-43.8%
LLME Score: 0.19257
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)
LaMini Neo 1.3B Mental Health Lora Parameters and Internals
| LLM Name | LaMini Neo 1.3B Mental Health Lora |
| Repository 🤗 | https://huggingface.co/Harshvir/LaMini-Neo-1.3B-Mental-Health_lora |
| Model Size | 1.3b |
| Required VRAM | 1.6 GB |
| Updated | 2024-10-18 |
| Maintainer | Harshvir |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50258 |
| LoRA Model | Yes |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to LaMini Neo 1.3B Mental Health Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| GPT Neo 1.3B Lama | 2K / 5.3 GB | 14 | 0 |
| GPT Neo 1.3B Alpaca | 2K / 5.3 GB | 6 | 0 |
| Adonalsium GPT Neo 1.3B | 2K / 0 GB | 15 | 1 |
| GPT Neo 1.3B Cs Finetuning | 2K / 0.5 GB | 9 | 0 |
| GPT NeoX 1.3B Viet Long 70 | 2K / 5.3 GB | 5 | 0 |
| ...oX 1.3B Viet Custom 30 General | 2K / 5.3 GB | 5 | 0 |
| GPT NeoX 1.3B Viet Custom 10 | 2K / 5.3 GB | 9 | 0 |
| GPT NeoX 1.3B Viet Custom 30 | 2K / 5.3 GB | 5 | 0 |
| GPT NeoX 1.3B 500th | 2K / 5.3 GB | 6 | 0 |
| GPT NeoX 1.3B 2500th | 2K / 5.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Harshvir/LaMini-Neo-1.3B-Mental-Health_lora .
Rank the LaMini Neo 1.3B Mental Health Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803