Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Finetuned Instruct Qwen2 Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/minhtuan7akp/qwen_2.5_0.5b_instruct_finetune
Qwen 2.5 0.5b Instruct Finetune 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)
Qwen 2.5 0.5B Instruct Finetune Parameters and Internals
| 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 | 2025-09-18 |
| 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 to Qwen 2.5 0.5B Instruct Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 6 | 1 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 5 | 0 |
| Qwen2.5 0.5B Instruct | 64K / 1 GB | 7 | 0 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 1754490 | 368 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 3570029 | 22 |
| Qwen2 0.5B Instruct | 32K / 1 GB | 241877 | 196 |
| Qwen2.5 Coder 0.5B Instruct | 32K / 1 GB | 27326 | 52 |
| Limbic Tool Use 0.5B 32K | 32K / 1 GB | 123 | 25 |
| Tanzania 0.5B | 32K / 2 GB | 24 | 0 |
| ...etrain Mix Low Tweet 1M En GPT | 32K / 1 GB | 21 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than minhtuan7akp/qwen_2.5_0.5b_instruct_finetune .
Rank the Qwen 2.5 0.5B Instruct Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124