Base model:delta-vector/baldur... Base model:finetune:delta-vect... Endpoints compatible Lora Mergekit Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/kromcomp/L3.1-Baldur-r64-LoRA
L3.1 Baldur R64 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)
L3.1 Baldur R64 LoRA Parameters and Internals
| LLM Name | L3.1 Baldur R64 LoRA |
| Repository 🤗 | https://huggingface.co/kromcomp/L3.1-Baldur-r64-LoRA |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.4 GB |
| Updated | 2025-02-05 |
| Maintainer | kromcomp |
| Model Files | |
| Model Architecture | AutoModel |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|down_proj|k_proj|embed_tokens|q_proj|gate_proj|lm_head|up_proj|v_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
Best Alternatives to L3.1 Baldur R64 LoRA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3 8B Chat Doctor | 8K / 2.3 GB | 11 | 0 |
| 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 | 2 |
| 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 Control R64 LoRA | 0K / 0.4 GB | 0 | 1 |
| L3.1 Cakrawala R128 LoRA | 0K / 0.7 GB | 0 | 1 |
| L3.1 LongReward R128 LoRA | 0K / 0.7 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3.1-Baldur-r64-LoRA .
Rank the L3.1 Baldur R64 LoRA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227