Qwen 2.5 0.5B Instruct Finetune is an open-source language model by minhtuan7akp. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.17.
| LLM Name | Qwen 2.5 0.5b Instruct Finetune |
| Repository 🤗 | https://huggingface.co/minhtuan7akp/qwen_2.5_0.5b_instruct_finetune |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2026-07-25 |
| Maintainer | minhtuan7akp |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 18 | 1 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 15 | 0 |
| Qwen2.5 0.5B Instruct | 64K / 1 GB | 16 | 0 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 6324790 | 572 |
| Pulsar AI Final | 32K / 1 GB | 185 | 2 |
| Chichu 2.0 500M Instruct | 32K / 1 GB | 212 | 2 |
| Sakthai Context 0.5B Tools | 32K / 1 GB | 474 | 0 |
| Qwen R1 0.5B | 32K / 1 GB | 202 | 2 |
| Veda Labs 0.5B Instruct Base | 32K / 1 GB | 30 | 2 |
| ...ext Aware Abstention Qwen 0.5B | 32K / 2 GB | 48 | 0 |