Base model:dreadpoor/aspire-8b... Base model:finetune:dreadpoor/... Endpoints compatible Lora Mergekit Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/DreadPoor/ASPIRE-8B-r128-LORA
ASPIRE 8B R128 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)
ASPIRE 8B R128 LORA Parameters and Internals
| LLM Name | ASPIRE 8B R128 LORA |
| Repository 🤗 | https://huggingface.co/DreadPoor/ASPIRE-8B-r128-LORA |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.7 GB |
| Updated | 2025-04-06 |
| Maintainer | DreadPoor |
| Model Files | |
| Model Architecture | AutoModel |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | lm_head|v_proj|k_proj|o_proj|gate_proj|down_proj|embed_tokens|up_proj|q_proj |
| LoRA Alpha | 128 |
| LoRA Dropout | 0 |
| R Param | 128 |
Best Alternatives to ASPIRE 8B R128 LORA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3 8B Chat Doctor | 8K / 2.3 GB | 11 | 0 |
| ...ranite Uncertainty 3.2 8B Lora | 0K / 0 GB | 0 | 3 |
| BAEZEL 8B R128 LORA | 0K / 0.7 GB | 0 | 1 |
| L3.1 Aura R32 LoRA | 0K / 0.2 GB | 0 | 1 |
| L3.1 Epos R128 LoRA | 0K / 0.7 GB | 0 | 1 |
| Abliteration OVA 8B R128 LORA | 0K / 0.7 GB | 0 | 1 |
| Everything COT 8B R128 LoRA | 0K / 1.5 GB | 0 | 1 |
| OpenBioLLM 8B R64 LoRA | 0K / 0.4 GB | 0 | 1 |
| L3 Kudzu R32 LoRA | 0K / 0.2 GB | 0 | 1 |
| L3.1 Baldur R64 LoRA | 0K / 0.4 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than DreadPoor/ASPIRE-8B-r128-LORA .
Rank the ASPIRE 8B R128 LORA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227