Adapter Base model:adapter:nousresearc... Base model:nousresearch/meta-l... Finetuned Instruct Lora Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA
Llama 3 8B Instruct SpringDragon V2 QLoRA 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 8B Instruct SpringDragon V2 QLoRA Parameters and Internals
| Input Output |
|
| LLM Name | Llama 3 8B Instruct SpringDragon V2 QLoRA |
| Repository 🤗 | https://huggingface.co/ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.3 GB |
| Updated | 2024-12-22 |
| Maintainer | ToastyPigeon |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj|gate_proj|down_proj|up_proj|k_proj|o_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.05 |
| R Param | 32 |
Best Alternatives to Llama 3 8B Instruct SpringDragon V2 QLoRA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 3 8B Instruct Bvr Finetune V3 | 8K / 16.1 GB | 5 | 0 |
| Flippa V6 | 0K / 0 GB | 11 | 1 |
| ...lama 3 1 8B Instruct Orca ORPO | 0K / 0.1 GB | 126 | 2 |
| ...ight AGI Llama3.1 8B UC200k V2 | 0K / 0.2 GB | 87 | 2 |
| 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 | 2 | 1 |
| Llama 3 8B Claudstruct V3 | 0K / 0.1 GB | 11 | 0 |
| Llama 3 8B Claudstruct V1 | 0K / 0.1 GB | 7 | 0 |
| Llama 3 8B Instruct 80K QLoRA | 0K / 2.2 GB | 0 | 24 |
Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/Llama-3-8B-Instruct-SpringDragon-V2-QLoRA .
Rank the Llama 3 8B Instruct SpringDragon V2 QLoRA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217