Arxiv:2503.12524 Autotrain compatible Base model:finetune:lgai-exaon... Base model:lgai-exaone/exaone-... Conversational Custom code En Exaone Exaone-deep Instruct Ko Lg-ai Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-2.4B
EXAONE Deep 2.4B 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)
EXAONE Deep 2.4B Parameters and Internals
| LLM Name | EXAONE Deep 2.4B |
| Repository 🤗 | https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-2.4B |
| Base Model(s) | |
| Model Size | 2.4b |
| Required VRAM | 4.8 GB |
| Updated | 2025-06-09 |
| 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 | 4.43.1 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 102400 |
| Torch Data Type | bfloat16 |
| Activation Function | silu |
Best Alternatives to EXAONE Deep 2.4B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| EXAONE 3.5 2.4B Instruct | 32K / 9.7 GB | 94702 | 161 |
| ... 3.5 2.4B Instruct Abliterated | 32K / 10.8 GB | 548 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than LGAI-EXAONE/EXAONE-Deep-2.4B .
Rank the EXAONE Deep 2.4B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124