Qwen2.5 0.5B Instruct SFT V2 Tr Math Medium is an open-source language model by erayalp. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.
Base model:erayalp/qwen2.5-0.5... Base model:finetune:erayalp/qw... Conversational Curriculum-learning Dataset:erayalp/medium turkish... En Endpoints compatible Instruct Math Qwen2 Region:us Safetensors Supervised-fine-tuning Tr Turkish
Model Card on HF 🤗: https://huggingface.co/erayalp/qwen2.5-0.5b-instruct-SFT-v2-tr-math-medium
Qwen2.5 0.5B Instruct SFT V2 Tr Math Medium 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 Instruct SFT V2 Tr Math Medium Parameters and Internals
| LLM Name | Qwen2.5 0.5B Instruct SFT V2 Tr Math Medium |
| Repository 🤗 | https://huggingface.co/erayalp/qwen2.5-0.5b-instruct-SFT-v2-tr-math-medium |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 2 GB |
| Updated | 2025-12-10 |
| Maintainer | erayalp |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | tr en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.50.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen2.5 0.5B Instruct SFT V2 Tr Math Medium
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 30 | 1 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 29 | 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 | 187133 | 196 |
| Qwen2.5 Coder 0.5B Instruct | 32K / 1 GB | 27326 | 52 |
| Tanzania 0.5B | 32K / 2 GB | 24 | 0 |
| ...etrain Mix Low Tweet 1M En GPT | 32K / 1 GB | 21 | 0 |
| ...l Pretrain Control Tweet 1M En | 32K / 1 GB | 20 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than erayalp/qwen2.5-0.5b-instruct-SFT-v2-tr-math-medium .
Rank the Qwen2.5 0.5B Instruct SFT V2 Tr Math Medium Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a