--- license: other license_name: exaone license_link: LICENSE model_name: EXAONE-3.0-7.8B-Instruct base_model: LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct inference: false model_creator: Meta Llama3 model_type: llama pipeline_tag: text-generation quantized_by: Second State Inc. language: - en - ko tags: - lg-ai - exaone - gguf ---

# EXAONE-3.0-7.8B-Instruct-GGUF ## Original Model [LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct) ## Run with LlamaEdge - LlamaEdge version: coming soon - Prompt template - Prompt type: `exaone-chat` - Prompt string ```text [|system|]system_prompt_text[|endofturn|] [|user|]user_1st_turn_text [|assistant|]assistant_1st_turn_text[|endofturn|] [|user|]user_2nd_turn_text [|assistant|]assistant_2nd_turn_text[|endofturn|] ``` - Context size: `4096` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template exaone-chat \ --ctx-size 4096 \ --model-name EXAONE-3.0-7.8B-Instruct ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template exaone-chat \ --ctx-size 4096 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [EXAONE-3.0-7.8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.05 GB| smallest, significant quality loss - not recommended for most purposes | | [EXAONE-3.0-7.8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.19 GB| small, substantial quality loss | | [EXAONE-3.0-7.8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.88 GB| very small, high quality loss | | [EXAONE-3.0-7.8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.53 GB| very small, high quality loss | | [EXAONE-3.0-7.8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.51 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [EXAONE-3.0-7.8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.77 GB| medium, balanced quality - recommended | | [EXAONE-3.0-7.8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.54 GB| small, greater quality loss | | [EXAONE-3.0-7.8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.44 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.57 GB| large, very low quality loss - recommended | | [EXAONE-3.0-7.8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.44 GB| large, low quality loss - recommended | | [EXAONE-3.0-7.8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.42 GB| very large, extremely low quality loss | | [EXAONE-3.0-7.8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.31 GB| very large, extremely low quality loss - not recommended | | [EXAONE-3.0-7.8B-Instruct-f16.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-f16.gguf) | f16 | 16 | 15.6 GB| | *Quantized with llama.cpp b3807.*