4bit Base model:adapter:unsloth/lla... Base model:unsloth/llama-3-8b-... Dataset:grimulkan/limarp-augme... Dataset:mpasila/limarp-augment... En Ext 8k Instruct Llama Lora Not-for-all-audiences Peft Quantized Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B
Llama 3 LimaRP Instruct LoRA 8B 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 LimaRP Instruct LoRA 8B Parameters and Internals
| Model Type |
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Llama 3 LimaRP Instruct LoRA 8B |
| Repository 🤗 | https://huggingface.co/Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 2.7 GB |
| Updated | 2025-08-26 |
| Maintainer | Azazelle |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Context Length | 8k |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| License | llama3 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|k_proj|down_proj|v_proj|gate_proj|o_proj|q_proj |
| LoRA Alpha | 512 |
| LoRA Dropout | 0 |
| R Param | 256 |
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| Torki Lora | 0K / 0 GB | 5 | 0 |
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| Llama 3 Instruct LiPPA LoRA 8B | 0K / 2.7 GB | 6 | 0 |
| DECYPHERS PRIME 2.0 | 0K / 0.2 GB | 0 | 1 |
| ...uct Bnb Lora MedicalQnADataset | 0K / 0.3 GB | 0 | 1 |
| Nextjs App V0.1 | 0K / 0.2 GB | 0 | 2 |
| ...lama 3.1 8B Roleplay BSNL Gguf | 0K / 4.9 GB | 2815 | 7 |
| ...ma 3.1 8B Roleplay Airtel Gguf | 0K / 4.9 GB | 1807 | 5 |
| Llama 3.1 8B Rp Tadashinu Gguf | 0K / 4.9 GB | 493 | 5 |
| Llama 3.1 8B Roleplay Jio Gguf | 0K / 4.9 GB | 464 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B .
Rank the Llama 3 LimaRP Instruct LoRA 8B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124