Who developed StrxiAI Qwen2.5 0.5B and how large is it?

StrxiAI Qwen2.5 0.5B is developed by baranqr, a model with 0.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate StrxiAI Qwen2.5 0.5B?

StrxiAI Qwen2.5 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

StrxiAI Qwen2.5 0.5B by baranqr

Name: StrxiAI Qwen2.5 0.5B
Author: baranqr

StrxiAI Qwen2.5 0.5B is an open-source language model by baranqr. Features: 0.5b LLM, LLM Explorer Score: 0.28.

Arxiv:1910.09700 Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-0.5b Conversational Endpoints compatible Lora Peft Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/baranqr/StrxiAI-Qwen2.5-0.5B

StrxiAI Qwen2.5 0.5B Benchmarks

LLME Score: 0.2752

^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)

StrxiAI Qwen2.5 0.5B (baranqr/StrxiAI-Qwen2.5-0.5B)

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StrxiAI Qwen2.5 0.5B Parameters and Internals

LLM Name	StrxiAI Qwen2.5 0.5B
Repository 🤗	https://huggingface.co/baranqr/StrxiAI-Qwen2.5-0.5B
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	0 GB
Updated	2026-07-16
Maintainer	baranqr
Model Files	0.0 GB 1.0 GB 0.0 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|up_proj\|k_proj\|v_proj\|gate_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Best Alternatives to StrxiAI Qwen2.5 0.5B

Best Alternatives	Context / RAM	Downloads
...n2 0.5B Lora Ff Gd Steps 6 Aws	0K / 1 GB	9
Qwen2 0.5B Lora Ff Gd Steps 6	0K / 1 GB	8
Qwen2 0.5B Lora No Ff Aws	0K / 1 GB	5
... Lora Single Device Ff Testing	0K / 1 GB	6
...PRYMMAL 0.5B FT V5 MUSR Mathis	0K / 0.6 GB	14
...PRYMMAL 0.5B FT V5 MUSR Mathis	0K / 0.6 GB	19
AutoMAD Small	0K / 0 GB	5
Autotrain Uh1gg Kgp3o	0K / 0.6 GB	0

Rank the StrxiAI Qwen2.5 0.5B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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