Qwen2.5 Prompt Varient is an open-source language model by andro-flock. Features: 493.8m LLM, VRAM: 2GB, Context: 32K, LLM Explorer Score: 0.18.
Autotrain compatible Base model:andro-flock/qwen2.5... Base model:finetune:andro-floc... Conversational Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/andro-flock/Qwen2.5-prompt-varient
Qwen2.5 Prompt Varient 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 Prompt Varient Parameters and Internals
| LLM Name | Qwen2.5 Prompt Varient |
| Repository 🤗 | https://huggingface.co/andro-flock/Qwen2.5-prompt-varient |
| Model Name | prompt-varient |
| Base Model(s) | |
| Model Size | 493.8m |
| Required VRAM | 2 GB |
| Updated | 2025-03-15 |
| Maintainer | andro-flock |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151669 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen2.5 Prompt Varient
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SoRu 0009 | 32K / 1 GB | 23 | 0 |
| Prompt Varient | 32K / 2 GB | 20 | 0 |
| SoRu 0005 | 32K / 1 GB | 9 | 0 |
| SoRu 0004 | 32K / 1 GB | 8 | 0 |
| SoRu 0006 | 32K / 1 GB | 6 | 0 |
| SoRu 0003 | 32K / 1 GB | 6 | 0 |
| SoRu 0007 | 32K / 1 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than andro-flock/Qwen2.5-prompt-varient .
Rank the Qwen2.5 Prompt Varient Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a