Autotrain compatible Base model:finetune:sam-paech/... Base model:sam-paech/delirium-... Conversational En Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/nhyha/N3N_Delirium-v1_1030_0227
N3N Delirium V1 1030 0227 Benchmarks
MMLU Pro: 35
GPQA: 11.63
MUSR: 9.86
BBH: 40.78
IFEval: 80.23 vs 88 (so35)-8.8%
MATH Lvl 5: 21.07
LLME Score: 0.28092
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)
N3N Delirium V1 1030 0227 Parameters and Internals
| LLM Name | N3N Delirium V1 1030 0227 |
| Repository 🤗 | https://huggingface.co/nhyha/N3N_Delirium-v1_1030_0227 |
| Base Model(s) | |
| Model Size | 10.2b |
| Required VRAM | 20.4 GB |
| Updated | 2025-09-17 |
| Maintainer | nhyha |
| Model Type | gemma2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Gemma2ForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.44.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to N3N Delirium V1 1030 0227
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Context / RAM |
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| Exurbia Enhanced | 8K / 20.4 GB | 33 | 1 |
| Exurbia Delta9 | 8K / 20.4 GB | 3 | 1 |
Rank the N3N Delirium V1 1030 0227 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124