Qwen2.5 7B Rebase is an open-source language model by Nitral-AI. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.19.
Merged Model Arxiv:2403.19522 Autotrain compatible Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-7... Base model:xiaojian9992024/qwe... Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Qwen2.5-7B-Rebase
Qwen2.5 7B Rebase 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 Rebase Parameters and Internals
| LLM Name | Qwen2.5 7B Rebase |
| Repository 🤗 | https://huggingface.co/Nitral-AI/Qwen2.5-7B-Rebase |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-03-27 |
| Maintainer | Nitral-AI |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 1010000 |
| Model Max Length | 1010000 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 7B Rebase
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 16 | 2 |
| StockQwen 2.5 7B | 128K / 15.2 GB | 25 | 6 |
| DareQwen 2.5 7B | 128K / 15.2 GB | 8 | 1 |
| Tessa T1 7B | 117K / 15.2 GB | 12 | 10 |
| UIGEN T1.5 7B | 117K / 15.2 GB | 7 | 6 |
| Qwen2.5 Coder 7B Instruct | 32K / 15.2 GB | 2110918 | 684 |
| AstraGPTCoder 7B | 32K / 15.2 GB | 321 | 0 |
| Qwen2.5 Coder 7B Instruct MLX | 32K / 15.2 GB | 799 | 2 |
| Hemlock2 Coder 7B | 32K / 15.2 GB | 192 | 0 |
| Qwen2.5 7B MS Destroyer | 32K / 15.2 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Qwen2.5-7B-Rebase .
Rank the Qwen2.5 7B Rebase Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a