Qwen2.5 7B Inst Math Reasoning SFT V1 is an open-source language model by Cagatayd. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.
Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-7b-... Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Cagatayd/Qwen2.5-7B-Inst-Math-Reasoning-SFT-v1
Qwen2.5 7B Inst Math Reasoning SFT V1 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 7B Inst Math Reasoning SFT V1 Parameters and Internals
| LLM Name | Qwen2.5 7B Inst Math Reasoning SFT V1 |
| Repository 🤗 | https://huggingface.co/Cagatayd/Qwen2.5-7B-Inst-Math-Reasoning-SFT-v1 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-09-19 |
| Maintainer | Cagatayd |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 7B Inst Math Reasoning SFT V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 58209 | 362 |
| Hush Qwen2.5 7B RP V1.4 1M | 986K / 15.2 GB | 4 | 2 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 4 | 6 |
| Qwen2.5 7B CelestialHarmony 1M | 986K / 14.8 GB | 3 | 7 |
| Q2.5 Instruct 1M Harmony | 986K / 15.2 GB | 4 | 2 |
| Impish QWEN 7B 1M | 986K / 15.2 GB | 21 | 5 |
| COCO 7B Instruct 1M | 986K / 15.2 GB | 16 | 4 |
| Apollo 7B | 986K / 15.2 GB | 6 | 0 |
| Graph R1 7B | 986K / 15.3 GB | 5 | 3 |
| Qwen2.5 7B Sky R1 Mini | 986K / 15.2 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Cagatayd/Qwen2.5-7B-Inst-Math-Reasoning-SFT-v1 .
Rank the Qwen2.5 7B Inst Math Reasoning SFT V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a