Model Card on HF 🤗: https://huggingface.co/pcalhoun/Llama-3.1-8B-JonathanSwift-lora
Llama 3.1 8B JonathanSwift Lora 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)
Llama 3.1 8B JonathanSwift Lora Parameters and Internals
| LLM Name | Llama 3.1 8B JonathanSwift Lora |
| Repository 🤗 | https://huggingface.co/pcalhoun/Llama-3.1-8B-JonathanSwift-lora |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 1.8 GB |
| Updated | 2025-04-29 |
| Maintainer | pcalhoun |
| Model Files | |
| Model Architecture | Adapter |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|k_proj|up_proj|q_proj|v_proj |
| LoRA Alpha | 512 |
| LoRA Dropout | 0.07 |
| R Param | 256 |
Best Alternatives to Llama 3.1 8B JonathanSwift Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 3 8B Instruct Bvr Finetune V3 | 8K / 16.1 GB | 5 | 0 |
| Flippa V6 | 0K / 0 GB | 7 | 1 |
| Suavemente 8B R128 LORA | 0K / 2.8 GB | 9 | 0 |
| Llama 3 Korean 8B R V 0.1 | 0K / 0 GB | 5 | 0 |
| ...ning Llama 8B Rank 128 Adapter | 0K / 0.7 GB | 10 | 0 |
| ...a 8B Rank 128 INSTRUCT Adapter | 0K / 0.7 GB | 7 | 0 |
| L3 Umbral Mind R128 LoRA | 0K / 0.7 GB | 14 | 3 |
| ...a7 4262 4abb 97b1 1879f340d32e | 0K / 0.3 GB | 5 | 0 |
| Llama 3.1 8B Smart Lora | 0K / 0.2 GB | 0 | 1 |
| ...ultiModal Llama 3 8B Finetuned | 0K / 0 GB | 2 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than pcalhoun/Llama-3.1-8B-JonathanSwift-lora .
Rank the Llama 3.1 8B JonathanSwift Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227