QiFu V1 is an open-source language model by EgoisticCoder. Features: 4b LLM, VRAM: 0.2GB, Quantized, Instruction-Based, LLM Explorer Score: 0.3.
| LLM Name | QiFu V1 |
| Repository 🤗 | https://huggingface.co/EgoisticCoder/QiFu-v1 |
| Model Name | uiux-qwen3-vl-lora |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 0.2 GB |
| Updated | 2026-09-15 |
| Maintainer | EgoisticCoder |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| Model Max Length | 262144 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | (|?|:|.|*|?|(|?|:|v|i|s|i|o|n|||i|m|a|g|e|||v|i|s|u|a|l|||p|a|t|c|h|||l|a|n|g|u|a|g|e|||t|e|x|t|)|.|*|?|(|?|:|s|e|l|f|_|a|t|t|n|||a|t|t|e|n|t|i|o|n|||a|t|t|n|||m|i|x|e|r|||m|l|p|||f|e|e|d|_|f|o|r|w|a|r|d|||f|f|n|||d|e|n|s|e|||m|i|x|e|r|)|.|*|?|(|?|:|q|k|v|||p|r|o|j|||l|i|n|e|a|r|_|f|c|1|||l|i|n|e|a|r|_|f|c|2|||q|_|p|r|o|j|||k|_|p|r|o|j|||v|_|p|r|o|j|||o|_|p|r|o|j|||g|a|t|e|_|p|r|o|j|||u|p|_|p|r|o|j|||d|o|w|n|_|p|r|o|j|)|)|||(|?|:|\|b|m|o|d|e|l|\|.|l|a|y|e|r|s|\|.|[|\|d|]|{|1|,|}|\|.|(|?|:|s|e|l|f|_|a|t|t|n|||a|t|t|e|n|t|i|o|n|||a|t|t|n|||m|i|x|e|r|||m|l|p|||f|e|e|d|_|f|o|r|w|a|r|d|||f|f|n|||d|e|n|s|e|||m|i|x|e|r|)|\|.|(|?|:|(|?|:|q|k|v|||p|r|o|j|||l|i|n|e|a|r|_|f|c|1|||l|i|n|e|a|r|_|f|c|2|||q|_|p|r|o|j|||k|_|p|r|o|j|||v|_|p|r|o|j|||o|_|p|r|o|j|||g|a|t|e|_|p|r|o|j|||u|p|_|p|r|o|j|||d|o|w|n|_|p|r|o|j|)|)|) |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...n3vl 4B Lora No Height R64 Vit | 0K / 0.3 GB | 13 | 1 |
| ... 4B Lora No Parameters R64 Vit | 0K / 0.3 GB | 12 | 1 |
| Qwen3vl 4B Lora No Fov R64 Vit | 0K / 0.3 GB | 11 | 1 |
| ... 3n 4B It Distill Smollm2 360M | 0K / 0 GB | 55 | 0 |
| Qwen3 4B Chunky | 0K / 0.3 GB | 7 | 0 |
| ...upyter Agent Qwen3 4B AIO GGUF | 0K / 1.7 GB | 313 | 4 |
| Calme 2.1 Phi3 4B GGUF | 0K / 1.4 GB | 1143 | 1 |
| Calme 2.2 Phi3 4B GGUF | 0K / 1.4 GB | 1028 | 2 |
| Calme 2.3 Phi3 4B GGUF | 0K / 1.4 GB | 327 | 5 |
| AYA Mistral7B Instruct TR 4B | 0K / 0.3 GB | 0 | 6 |