Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/furiosa-ai/EXAONE-3.0-7.8B-Instruct-converted
EXAONE 3.0 7.8B Instruct Converted 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 3.0 7.8B Instruct Converted Parameters and Internals
| LLM Name | EXAONE 3.0 7.8B Instruct Converted |
| Repository 🤗 | https://huggingface.co/furiosa-ai/EXAONE-3.0-7.8B-Instruct-converted |
| Model Size | 7.8b |
| Required VRAM | 31.2 GB |
| Updated | 2025-09-23 |
| Maintainer | furiosa-ai |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 102400 |
| Torch Data Type | float32 |
Best Alternatives to EXAONE 3.0 7.8B Instruct Converted
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...NE 3.5 7.8B Instruct Llamafied | 32K / 15.6 GB | 1053 | 5 |
| ...3.0 7.8B Instruct Llamafied 8K | 8K / 31.2 GB | 6 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than furiosa-ai/EXAONE-3.0-7.8B-Instruct-converted .
Rank the EXAONE 3.0 7.8B Instruct Converted Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124