Qwen2.5 0.5B Base Qa Finetune V3 is an open-source language model by minhtuan7akp. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.19.
Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-0.5... En Endpoints compatible Finetuned Qwen2 Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3
Qwen2.5 0.5b Base Qa Finetune V3 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)
Qwen2.5 0.5B Base Qa Finetune V3 Parameters and Internals
| LLM Name | Qwen2.5 0.5b Base Qa Finetune V3 |
| Repository 🤗 | https://huggingface.co/minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3 |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2025-09-23 |
| Maintainer | minhtuan7akp |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 0.5B Base Qa Finetune V3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 1190 | 145 |
| Qwen2 0.5B | 128K / 1 GB | 514030 | 165 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 32 | 1 |
| ....5B FT V4 MUSR ENSEMBLE Mathis | 128K / 2 GB | 30 | 1 |
| ...PRYMMAL 0.5B FT V4 MUSR Mathis | 128K / 1 GB | 62 | 1 |
| ...0.5B FT MUSR ENSEMBLE V2Mathis | 128K / 1 GB | 25 | 0 |
| Qwen2 0.5B Stf Imdb | 128K / 1 GB | 6 | 0 |
| ECE PRYMMAL 0.5B FT V3 MUSR | 128K / 2 GB | 6 | 0 |
| ...44 45ee 44f3 934d Ddc8b6e082f1 | 128K / 1 GB | 8 | 0 |
| ...wen199f16 Merged FinetunedByAG | 128K / 1 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3 .
Rank the Qwen2.5 0.5B Base Qa Finetune V3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a