4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Dataset:ebowwa/people-profiles Dataset:ebowwa/sound psycholog... En Endpoints compatible Llama Lora Quantized Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/ebowwa/people-profilesNsound_psychologyv2
People ProfilesNsound Psychologyv2 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)
People ProfilesNsound Psychologyv2 Parameters and Internals
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| Additional Notes |
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| Training Details |
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| LLM Name | People ProfilesNsound Psychologyv2 |
| Repository 🤗 | https://huggingface.co/ebowwa/people-profilesNsound_psychologyv2 |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.2 GB |
| Updated | 2024-12-22 |
| Maintainer | ebowwa |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|v_proj|up_proj|gate_proj|q_proj|o_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
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Note: green Score (e.g. "73.2") means that the model is better than ebowwa/people-profilesNsound_psychologyv2 .
Rank the People ProfilesNsound Psychologyv2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217