Outputs is an open-source language model by Ba2han. Features: 1.3b LLM, VRAM: 2.5GB, Context: 16K, LLM Explorer Score: 0.34.
Model Card on HF 🤗: https://huggingface.co/Ba2han/outputs
Outputs 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)
Outputs Parameters and Internals
| LLM Name | Outputs |
| Repository 🤗 | https://huggingface.co/Ba2han/outputs |
| Model Name | random_model |
| Model Size | 1.3b |
| Required VRAM | 2.5 GB |
| Updated | 2026-07-19 |
| Maintainer | Ba2han |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 5.5.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <pad> |
| Vocabulary Size | 60800 |
Rank the Outputs 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! 🌟
What open-source LLMs or SLMs are you in search of? 55234 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a