Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-Exp2-lora_model
Qwen2.5 7B Exp2 Lora Model 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)
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Qwen2.5 7B Exp2 Lora Model Parameters and Internals
| LLM Name | Qwen2.5 7B Exp2 Lora Model |
| Repository 🤗 | https://huggingface.co/bunnycore/Qwen2.5-7B-Exp2-lora_model |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2025-03-14 |
| Maintainer | bunnycore |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|o_proj|v_proj|k_proj|down_proj|q_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
Best Alternatives to Qwen2.5 7B Exp2 Lora Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen 2.5 7B S1k Lora Model | 0K / 0.2 GB | 0 | 1 |
| Qwen 2.1 7B Persona Lora Model | 0K / 0.2 GB | 0 | 1 |
| Mistral 7B News Cnn Merged | 0K / 0.3 GB | 0 | 1 |
| Qwen 2.5 7B Rp Lora | 0K / 0.2 GB | 0 | 2 |
| Pixel | 8K / 4.4 GB | 17 | 0 |
| ... 7b 448 Qinstruct Preview V0.1 | 2K / 17.3 GB | 16 | 4 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 2550603 | 84 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1749362 | 11 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 1255 | 12 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 55195 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-Exp2-lora_model .
Rank the Qwen2.5 7B Exp2 Lora Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227