Qwen 2.5 7B S1k Lora Model is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.
4bit Dataset:mlfoundations-dev/s1k-... Dataset:nitral-ai/cosmopedia-i... En Endpoints compatible Instruct Lora Quantized Qwen2 Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model
Qwen 2.5 7B S1k 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)
Qwen 2.5 7B S1k Lora Model Parameters and Internals
| LLM Name | Qwen 2.5 7B S1k Lora Model |
| Repository 🤗 | https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2026-04-12 |
| 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 | <|vision_pad|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|up_proj|v_proj|k_proj|o_proj|down_proj|gate_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
Best Alternatives to Qwen 2.5 7B S1k Lora Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...entesterFlow V3 Reasoning LoRA | 0K / 0 GB | 19 | 0 |
| Lora | 0K / 0.2 GB | 19 | 0 |
| Mistral 7B News Cnn Merged | 0K / 0.3 GB | 0 | 1 |
| Qwen 2.1 7B Persona Lora Model | 0K / 0.2 GB | 0 | 1 |
| Qwen2.5 7B Exp2 Lora Model | 0K / 0.2 GB | 0 | 1 |
| Qwen 2.5 7B Rp Lora | 0K / 0.2 GB | 0 | 3 |
| Pixel | 8K / 4.4 GB | 17 | 0 |
| ... 7b 448 Qinstruct Preview V0.1 | 2K / 17.3 GB | 6 | 4 |
| ...ral 7B Instruct V0.2 Llamafile | 0K / 14.5 GB | 2185 | 25 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 111364 | 136 |
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen-2.5-7b-s1k-lora_model .
Rank the Qwen 2.5 7B S1k Lora Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a