Arxiv:2308.14508 Arxiv:2402.13718 Adapter Conversational Finetuned Instruct Lora Region:us Safetensors
Llama 3 8B Instruct 80K QLoRA Benchmarks
ARC: 57.42 vs 96.7 (so35)-40.6%
HellaSwag: 77.34 vs 95.3 (gpt4)-18.8%
MMLU: 64.91 vs 88.3 (so35)-26.5%
TruthfulQA: 47.86 vs 59 (gpt4)-18.9%
WinoGrande: 74.9 vs 87.5 (gpt4)-14.4%
GSM8K: 62.24 vs 96.4 (so35)-35.4%
LLME Score: 0.22963
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)
Llama 3 8B Instruct 80K QLoRA Parameters and Internals
| LLM Name | Llama 3 8B Instruct 80K QLoRA |
| Repository 🤗 | https://huggingface.co/namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA |
| Model Size | 8b |
| Required VRAM | 2.2 GB |
| Updated | 2024-10-18 |
| Maintainer | namespace-Pt |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| License | mit |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|k_proj|q_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 32 |
Best Alternatives to Llama 3 8B Instruct 80K QLoRA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 3 8B Instruct Bvr Finetune V3 | 8K / 16.1 GB | 8 | 0 |
| Vortex2 | 0K / 4.4 GB | 8 | 0 |
| FineLlama3.1 8B Instruct Lora | 0K / 0.2 GB | 0 | 1 |
| Llama3 8B Instruct Code | 0K / 0.2 GB | 3 | 1 |
| Llama 3 8B Claudstruct V3 | 0K / 0.1 GB | 13 | 0 |
| Llama 3 8B Claudstruct V1 | 0K / 0.1 GB | 5 | 0 |
| Llama3 8b Sa V0.1 | 0K / 0 GB | 6 | 0 |
| ...Llama 3 8B Instruct ORPO QLoRA | 0K / 0.7 GB | 5 | 0 |
| Llama3 Tw 8B Btc Qlora | 0K / 0.1 GB | 10 | 3 |
| Llama3 Rm 96k Summ | 0K / 0 GB | 34 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA .
Rank the Llama 3 8B Instruct 80K QLoRA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803