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Model Card on HF 🤗: https://huggingface.co/kromcomp/L3.1-Spark-r64-LoRA
L3.1 Spark 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 Spark R64 LoRA Parameters and Internals
| LLM Name | L3.1 Spark R64 LoRA |
| Repository 🤗 | https://huggingface.co/kromcomp/L3.1-Spark-r64-LoRA |
| Base Model(s) | |
| Required VRAM | 0.4 GB |
| Updated | 2024-12-22 |
| Maintainer | kromcomp |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|embed_tokens|lm_head|gate_proj|k_proj|q_proj|up_proj|v_proj|down_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
Best Alternatives to L3.1 Spark R64 LoRA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 Mini 4K Instruct Sa V0.1 | 0K / 0 GB | 9 | 0 |
| Reflection Model | 0K / 0.2 GB | 0 | 1 |
| SpectraMind | 0K / 16.1 GB | 65 | 2 |
| SpectraMindQ | 0K / 0.2 GB | 10 | 1 |
| Mistral Small Fujin Qlora | 0K / 0.8 GB | 15 | 1 |
| Zephyr Phi 1 5 Sft Qlora | 0K / 0 GB | 5 | 0 |
| Ll3 C3 Lora New | 0K / 0 GB | 7 | 0 |
| Phi Openllm Lb Test | 0K / 0 GB | 5 | 0 |
| Hua V0.1 | 0K / 0 GB | 6 | 0 |
| CodeHAWK | 0K / 0 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3.1-Spark-r64-LoRA .
Rank the L3.1 Spark R64 LoRA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217