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/netcat420/EXAONE3.5-2.5b-Instruct-128k
EXAONE3.5 2.5B Instruct 128K 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)
EXAONE3.5 2.5B Instruct 128K Parameters and Internals
| LLM Name | EXAONE3.5 2.5B Instruct 128K |
| Repository 🤗 | https://huggingface.co/netcat420/EXAONE3.5-2.5b-Instruct-128k |
| Model Size | 2.5b |
| Required VRAM | 9.7 GB |
| Updated | 2025-09-17 |
| Maintainer | netcat420 |
| Model Type | exaone |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ko |
| Model Architecture | ExaoneForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 102400 |
| Torch Data Type | float32 |
| Activation Function | silu |
Rank the EXAONE3.5 2.5B Instruct 128K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124