Arxiv:2412.04862 Autotrain compatible Conversational Custom code En Exaone Exaone-3.5 Instruct Ko Lg-ai Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct
EXAONE 3.5 2.4B Instruct Benchmarks
MMLU Pro: 25.34
GPQA: 2.13
MUSR: 3.17
BBH: 15.95
IFEval: 79.5 vs 88 (so35)-9.7%
MATH Lvl 5: 36.78
LLME Score: 0.37926
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)
EXAONE 3.5 2.4B Instruct Parameters and Internals
| LLM Name | EXAONE 3.5 2.4B Instruct |
| Repository 🤗 | https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct |
| Model Size | 2.4b |
| Required VRAM | 9.7 GB |
| Updated | 2025-09-23 |
| Maintainer | LGAI-EXAONE |
| Model Type | exaone |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ko |
| Model Architecture | ExaoneForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 102400 |
| Torch Data Type | float32 |
| Activation Function | silu |
Best Alternatives to EXAONE 3.5 2.4B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| EXAONE Deep 2.4B | 32K / 4.8 GB | 5035 | 98 |
| ... 3.5 2.4B Instruct Abliterated | 32K / 10.8 GB | 22 | 5 |
Rank the EXAONE 3.5 2.4B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124