Omega Attention 0.5B is an open-source language model by rekstar. Features: 0.5b LLM, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.28.
| LLM Name | Omega Attention 0.5B |
| Repository π€ | https://huggingface.co/rekstar/omega-attention-0.5b |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 0 GB |
| Updated | 2026-08-21 |
| Maintainer | rekstar |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| License | mit |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|up_proj|v_proj|q_proj|down_proj|gate_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...0.5B Instruct Bnb 4bit Q4KM 1E | 0K / 0.4 GB | 27 | 0 |
| Qwen2 0.5B Instruct Sorah GGUF | 0K / 0.4 GB | 34 | 0 |
| ...0.5B Instruct Bnb 4bit Q4KM 1E | 0K / 0.4 GB | 0 | 0 |