Model Card on HF 🤗: https://huggingface.co/Ar4ikov/civitai_prompts_falcon_15k_v2_4bit
Civitai Prompts Falcon 15k V2 4bit 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)
Civitai Prompts Falcon 15K V2 4bit Parameters and Internals
| LLM Name | Civitai Prompts Falcon 15k V2 4bit |
| Repository 🤗 | https://huggingface.co/Ar4ikov/civitai_prompts_falcon_15k_v2_4bit |
| Required VRAM | 0 GB |
| Updated | 2025-09-14 |
| Maintainer | Ar4ikov |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | query_key_value |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
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| NaturalLanguagePioneersSTEMExp | 0K / 0.4 GB | 5 | 0 |
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| C4ai Command R V01 SFT | 0K / 0.2 GB | 4 | 1 |
| ...inyllama Ft CodeAlpaca Adapter | 0K / 0.1 GB | 0 | 2 |
| Open Llama3B 4bit Lora | 0K / 0 GB | 2 | 3 |
| Nemo Kimi Lora | 0K / 1.8 GB | 30 | 0 |
| Nemo Books Lora 4 | 0K / 1.8 GB | 7 | 0 |
| Nemo Books Lora | 0K / 1.8 GB | 9 | 0 |
| Phi 3 Mini 4K Instruct Sa V0.1 | 0K / 0 GB | 5 | 0 |
| Francois KTO Lora | 0K / 0 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Ar4ikov/civitai_prompts_falcon_15k_v2_4bit .
Rank the Civitai Prompts Falcon 15K V2 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124