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-3.5-7.8B-Instruct
EXAONE 3.5 7.8B Instruct Benchmarks
MMLU Pro: 34.81
GPQA: 1.01
MUSR: 4.94
BBH: 25.65
IFEval: 81.36 vs 88 (so35)-7.5%
MATH Lvl 5: 47.51
LLME Score: 0.3912
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 7.8B Instruct Parameters and Internals
| LLM Name | EXAONE 3.5 7.8B Instruct |
| Repository 🤗 | https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct |
| Model Size | 7.8b |
| Required VRAM | 31.2 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 7.8B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| EXAONE Deep 7.8B | 32K / 15.6 GB | 7919 | 95 |
| ... 3.5 7.8B Instruct Abliterated | 32K / 31.2 GB | 41 | 6 |
Rank the EXAONE 3.5 7.8B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124