Model Card on HF 🤗: https://huggingface.co/ericzhang0328/loopllama_origin
Loopllama Origin 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)
Loopllama Origin Parameters and Internals
| LLM Name | Loopllama Origin |
| Repository 🤗 | https://huggingface.co/ericzhang0328/loopllama_origin |
| Model Size | 1.2b |
| Required VRAM | 4.9 GB |
| Updated | 2025-09-23 |
| Maintainer | ericzhang0328 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LoopLlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.55.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Rank the Loopllama Origin 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? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124