Debug Llama is an open-source language model by WillHeld. Features: 272.3k LLM, Context: 2K, LLM Explorer Score: 0.12.
Model Card on HF 🤗: https://huggingface.co/WillHeld/debug_llama
Debug Llama 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)
Debug Llama Parameters and Internals
| LLM Name | Debug Llama |
| Repository 🤗 | https://huggingface.co/WillHeld/debug_llama |
| Model Size | 272.3k |
| Required VRAM | 0 GB |
| Updated | 2026-05-10 |
| Maintainer | WillHeld |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 1000 |
| Torch Data Type | float32 |
Rank the Debug Llama Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a