4bit Autotrain compatible En Endpoints compatible Instruct Lora Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth
Model Card on HF 🤗: https://huggingface.co/mimi1998/Qwen2.5-7B-Instruct-SFT-Meme-LoRA-V7
Qwen2.5 7B Instruct SFT Meme LoRA V7 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 Instruct SFT Meme LoRA V7 Parameters and Internals
| LLM Name | Qwen2.5 7B Instruct SFT Meme LoRA V7 |
| Repository 🤗 | https://huggingface.co/mimi1998/Qwen2.5-7B-Instruct-SFT-Meme-LoRA-V7 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-07-15 |
| Maintainer | mimi1998 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 152064 |
| LoRA Model | Yes |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 7B Instruct SFT Meme LoRA V7
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M 4bit | 986K / 4.3 GB | 1474 | 9 |
| ...B Instruct 1M Unsloth Bnb 4bit | 986K / 7.5 GB | 1065 | 2 |
| Qwen2.5 7B Instruct 1M 8bit | 986K / 8.1 GB | 39 | 3 |
| Qwen2.5 7B Instruct 1M 6bit | 986K / 6.2 GB | 24 | 2 |
| Gte Qwen2 7B Instruct 4bit DWQ | 128K / 4.3 GB | 1057 | 3 |
| ...5 7B Instruct Unsloth Bnb 4bit | 32K / 7.2 GB | 1028302 | 2 |
| Distill Qw Test | 32K / 15.2 GB | 5 | 0 |
| Zirel 7B Math | 32K / 15.2 GB | 22 | 0 |
| Kyro N1 7B | 32K / 15.2 GB | 12 | 6 |
| Mini QwQ | 32K / 15.2 GB | 39 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mimi1998/Qwen2.5-7B-Instruct-SFT-Meme-LoRA-V7 .
Rank the Qwen2.5 7B Instruct SFT Meme LoRA V7 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124