Qwen2.5 0.5B Instruct With Output Tokens is an open-source language model by August4293. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.
| LLM Name | Qwen2.5 0.5B Instruct With Output Tokens |
| Repository π€ | https://huggingface.co/August4293/Qwen2.5-0.5B-Instruct-with-output-tokens |
| Model Size | 0.5b |
| Required VRAM | 2 GB |
| Updated | 2026-10-20 |
| Maintainer | August4293 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151667 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 47 | 1 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 38 | 0 |
| Qwen2.5 0.5B Instruct | 64K / 1 GB | 16 | 0 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 6324790 | 572 |
| Switchboard Router 0.5B | 32K / 1 GB | 510 | 2 |
| Qwen2.5 0.5B Abliterated | 32K / 1.3 GB | 1450 | 1 |
| Seger Qwen2.5 0.5B | 32K / 1 GB | 599 | 0 |
| Qwen2.5 0.5B Grounded Sft | 32K / 1 GB | 728 | 1 |
| Qwen2.5 0.5B Grounded Rloo | 32K / 1 GB | 705 | 1 |
| Temper 1 0.5B | 32K / 1 GB | 241 | 2 |