Model Card on HF 🤗: https://huggingface.co/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct
Benchmaxx Llama 3.2 1B Instruct Benchmarks
MMLU Pro: 1.25
GPQA: 4.47
MUSR: 3.58
BBH: 76.7
IFEval: 20.14 vs 88 (so35)-77.1%
MATH Lvl 5: 48.04
LLME Score: 0.29421
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)
Benchmaxx Llama 3.2 1B Instruct Parameters and Internals
| LLM Name | Benchmaxx Llama 3.2 1B Instruct |
| Repository 🤗 | https://huggingface.co/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct |
| Model Size | 1b |
| Required VRAM | 0 GB |
| Updated | 2025-09-08 |
| Maintainer | qingy2024 |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Best Alternatives to Benchmaxx Llama 3.2 1B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3.2 1B Instruct | 128K / 2.5 GB | 6681618 | 1060 |
| Llama 3.2 1B Instruct | 128K / 2.5 GB | 142137 | 78 |
| Nano Imp 1B | 128K / 3 GB | 1142 | 21 |
| BunderMaxx 1010 | 128K / 2.5 GB | 14 | 1 |
| Llama 3.2 1b OrcaSun V1 | 128K / 3 GB | 6 | 0 |
| ... 6 1B Instruct Abliterated LPL | 128K / 2.5 GB | 5 | 0 |
| Llama 3.2 1b SunOrca V1 | 128K / 3 GB | 7 | 0 |
| Cerberus 3.2 1B | 128K / 2.5 GB | 8 | 0 |
| Lancer 1 1B Instruct | 128K / 2.5 GB | 182 | 1 |
| BunderMaxx 0710 | 128K / 2.5 GB | 20 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Benchmaxx-Llama-3.2-1B-Instruct .
Rank the Benchmaxx Llama 3.2 1B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124